[2025-07-15T10:36:56.227Z] Running test renaissance-movie-lens_0 ... [2025-07-15T10:36:56.227Z] =============================================== [2025-07-15T10:36:56.227Z] renaissance-movie-lens_0 Start Time: Tue Jul 15 06:36:55 2025 Epoch Time (ms): 1752575815894 [2025-07-15T10:36:56.227Z] variation: NoOptions [2025-07-15T10:36:56.227Z] JVM_OPTIONS: [2025-07-15T10:36:56.227Z] { \ [2025-07-15T10:36:56.227Z] echo ""; echo "TEST SETUP:"; \ [2025-07-15T10:36:56.227Z] echo "Nothing to be done for setup."; \ [2025-07-15T10:36:56.227Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17525749496930/renaissance-movie-lens_0"; \ [2025-07-15T10:36:56.227Z] cd "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17525749496930/renaissance-movie-lens_0"; \ [2025-07-15T10:36:56.227Z] echo ""; echo "TESTING:"; \ [2025-07-15T10:36:56.227Z] "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/jdkbinary/j2sdk-image/Contents/Home/bin/..//bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17525749496930/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-07-15T10:36:56.228Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17525749496930/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-07-15T10:36:56.228Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-07-15T10:36:56.228Z] echo "Nothing to be done for teardown."; \ [2025-07-15T10:36:56.228Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17525749496930/TestTargetResult"; [2025-07-15T10:36:56.228Z] [2025-07-15T10:36:56.228Z] TEST SETUP: [2025-07-15T10:36:56.228Z] Nothing to be done for setup. [2025-07-15T10:36:56.228Z] [2025-07-15T10:36:56.228Z] TESTING: [2025-07-15T10:37:00.288Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 3 (out of 3) threads. [2025-07-15T10:37:04.399Z] 06:37:04.137 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1866 KiB). The maximum recommended task size is 1000 KiB. [2025-07-15T10:37:05.720Z] Got 100004 ratings from 671 users on 9066 movies. [2025-07-15T10:37:06.084Z] Training: 60056, validation: 20285, test: 19854 [2025-07-15T10:37:06.084Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-07-15T10:37:06.084Z] GC before operation: completed in 108.889 ms, heap usage 180.147 MB -> 74.481 MB. [2025-07-15T10:37:11.209Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-15T10:37:14.469Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-15T10:37:17.052Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-15T10:37:19.574Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-15T10:37:20.839Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-15T10:37:22.110Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-15T10:37:23.433Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-15T10:37:24.724Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-15T10:37:25.099Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-15T10:37:25.099Z] The best model improves the baseline by 14.52%. [2025-07-15T10:37:25.099Z] Top recommended movies for user id 72: [2025-07-15T10:37:25.099Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-15T10:37:25.099Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-15T10:37:25.099Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-15T10:37:25.099Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-15T10:37:25.099Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-15T10:37:25.099Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (19009.960 ms) ====== [2025-07-15T10:37:25.099Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-07-15T10:37:25.473Z] GC before operation: completed in 101.124 ms, heap usage 232.617 MB -> 86.350 MB. [2025-07-15T10:37:27.937Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-15T10:37:30.403Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-15T10:37:32.231Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-15T10:37:34.030Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-15T10:37:35.305Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-15T10:37:36.565Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-15T10:37:37.819Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-15T10:37:39.094Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-15T10:37:39.094Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-15T10:37:39.094Z] The best model improves the baseline by 14.52%. [2025-07-15T10:37:39.467Z] Top recommended movies for user id 72: [2025-07-15T10:37:39.467Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-15T10:37:39.467Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-15T10:37:39.467Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-15T10:37:39.467Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-15T10:37:39.467Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-15T10:37:39.467Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (13921.586 ms) ====== [2025-07-15T10:37:39.467Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-07-15T10:37:39.467Z] GC before operation: completed in 93.841 ms, heap usage 202.266 MB -> 87.184 MB. [2025-07-15T10:37:41.264Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-15T10:37:43.086Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-15T10:37:44.907Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-15T10:37:46.706Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-15T10:37:47.978Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-15T10:37:49.273Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-15T10:37:50.520Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-15T10:37:51.767Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-15T10:37:52.145Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-15T10:37:52.145Z] The best model improves the baseline by 14.52%. [2025-07-15T10:37:52.145Z] Top recommended movies for user id 72: [2025-07-15T10:37:52.145Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-15T10:37:52.145Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-15T10:37:52.145Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-15T10:37:52.145Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-15T10:37:52.145Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-15T10:37:52.145Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (12864.121 ms) ====== [2025-07-15T10:37:52.145Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-07-15T10:37:52.503Z] GC before operation: completed in 90.684 ms, heap usage 118.980 MB -> 87.627 MB. [2025-07-15T10:37:54.376Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-15T10:37:56.204Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-15T10:37:58.650Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-15T10:38:00.506Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-15T10:38:01.805Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-15T10:38:03.104Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-15T10:38:03.917Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-15T10:38:05.162Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-15T10:38:05.524Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-15T10:38:05.524Z] The best model improves the baseline by 14.52%. [2025-07-15T10:38:05.524Z] Top recommended movies for user id 72: [2025-07-15T10:38:05.524Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-15T10:38:05.524Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-15T10:38:05.524Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-15T10:38:05.524Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-15T10:38:05.524Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-15T10:38:05.524Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (13214.882 ms) ====== [2025-07-15T10:38:05.524Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-07-15T10:38:05.524Z] GC before operation: completed in 97.236 ms, heap usage 127.233 MB -> 87.946 MB. [2025-07-15T10:38:07.979Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-15T10:38:09.796Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-15T10:38:11.607Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-15T10:38:13.406Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-15T10:38:14.651Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-15T10:38:15.938Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-15T10:38:17.209Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-15T10:38:18.498Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-15T10:38:18.498Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-15T10:38:18.498Z] The best model improves the baseline by 14.52%. [2025-07-15T10:38:18.498Z] Top recommended movies for user id 72: [2025-07-15T10:38:18.498Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-15T10:38:18.498Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-15T10:38:18.498Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-15T10:38:18.498Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-15T10:38:18.498Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-15T10:38:18.498Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (12798.545 ms) ====== [2025-07-15T10:38:18.498Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-07-15T10:38:18.498Z] GC before operation: completed in 77.250 ms, heap usage 248.742 MB -> 88.139 MB. [2025-07-15T10:38:20.293Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-15T10:38:21.542Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-15T10:38:23.332Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-15T10:38:24.602Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-15T10:38:25.842Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-15T10:38:26.630Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-15T10:38:27.882Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-15T10:38:29.169Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-15T10:38:29.169Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-15T10:38:29.169Z] The best model improves the baseline by 14.52%. [2025-07-15T10:38:29.532Z] Top recommended movies for user id 72: [2025-07-15T10:38:29.532Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-15T10:38:29.532Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-15T10:38:29.532Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-15T10:38:29.532Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-15T10:38:29.532Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-15T10:38:29.532Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (10932.657 ms) ====== [2025-07-15T10:38:29.532Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-07-15T10:38:29.532Z] GC before operation: completed in 130.607 ms, heap usage 134.290 MB -> 88.270 MB. [2025-07-15T10:38:31.980Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-15T10:38:33.882Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-15T10:38:36.326Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-15T10:38:38.164Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-15T10:38:39.445Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-15T10:38:40.252Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-15T10:38:41.512Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-15T10:38:42.290Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-15T10:38:42.659Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-15T10:38:42.660Z] The best model improves the baseline by 14.52%. [2025-07-15T10:38:42.660Z] Top recommended movies for user id 72: [2025-07-15T10:38:42.660Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-15T10:38:42.660Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-15T10:38:42.660Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-15T10:38:42.660Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-15T10:38:42.660Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-15T10:38:42.660Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (13140.092 ms) ====== [2025-07-15T10:38:42.660Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-07-15T10:38:42.660Z] GC before operation: completed in 84.822 ms, heap usage 181.799 MB -> 88.244 MB. [2025-07-15T10:38:44.492Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-15T10:38:46.910Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-15T10:38:48.736Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-15T10:38:50.566Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-15T10:38:51.837Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-15T10:38:53.128Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-15T10:38:54.400Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-15T10:38:55.672Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-15T10:38:56.049Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-15T10:38:56.049Z] The best model improves the baseline by 14.52%. [2025-07-15T10:38:56.049Z] Top recommended movies for user id 72: [2025-07-15T10:38:56.049Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-15T10:38:56.049Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-15T10:38:56.049Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-15T10:38:56.049Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-15T10:38:56.049Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-15T10:38:56.049Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (13168.196 ms) ====== [2025-07-15T10:38:56.049Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-07-15T10:38:56.049Z] GC before operation: completed in 84.683 ms, heap usage 149.262 MB -> 88.383 MB. [2025-07-15T10:38:58.512Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-15T10:39:00.338Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-15T10:39:02.801Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-15T10:39:04.625Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-15T10:39:05.864Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-15T10:39:07.126Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-15T10:39:08.422Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-15T10:39:09.694Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-15T10:39:10.082Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-15T10:39:10.082Z] The best model improves the baseline by 14.52%. [2025-07-15T10:39:10.082Z] Top recommended movies for user id 72: [2025-07-15T10:39:10.082Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-15T10:39:10.082Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-15T10:39:10.082Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-15T10:39:10.082Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-15T10:39:10.082Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-15T10:39:10.082Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (13985.532 ms) ====== [2025-07-15T10:39:10.082Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-07-15T10:39:10.082Z] GC before operation: completed in 88.025 ms, heap usage 205.364 MB -> 88.379 MB. [2025-07-15T10:39:12.576Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-15T10:39:14.374Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-15T10:39:16.276Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-15T10:39:18.128Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-15T10:39:19.383Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-15T10:39:20.632Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-15T10:39:21.935Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-15T10:39:23.206Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-15T10:39:23.206Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-15T10:39:23.206Z] The best model improves the baseline by 14.52%. [2025-07-15T10:39:23.577Z] Top recommended movies for user id 72: [2025-07-15T10:39:23.577Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-15T10:39:23.577Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-15T10:39:23.578Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-15T10:39:23.578Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-15T10:39:23.578Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-15T10:39:23.578Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (13242.856 ms) ====== [2025-07-15T10:39:23.578Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-07-15T10:39:23.578Z] GC before operation: completed in 90.310 ms, heap usage 370.987 MB -> 88.770 MB. [2025-07-15T10:39:26.030Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-15T10:39:27.860Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-15T10:39:30.332Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-15T10:39:32.156Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-15T10:39:33.400Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-15T10:39:34.674Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-15T10:39:35.923Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-15T10:39:37.178Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-15T10:39:37.178Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-15T10:39:37.178Z] The best model improves the baseline by 14.52%. [2025-07-15T10:39:37.564Z] Top recommended movies for user id 72: [2025-07-15T10:39:37.565Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-15T10:39:37.565Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-15T10:39:37.565Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-15T10:39:37.565Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-15T10:39:37.565Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-15T10:39:37.565Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (13949.826 ms) ====== [2025-07-15T10:39:37.565Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-07-15T10:39:37.565Z] GC before operation: completed in 95.956 ms, heap usage 108.207 MB -> 88.188 MB. [2025-07-15T10:39:39.382Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-15T10:39:41.798Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-15T10:39:43.613Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-15T10:39:45.405Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-15T10:39:46.662Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-15T10:39:47.906Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-15T10:39:49.201Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-15T10:39:50.480Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-15T10:39:50.480Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-15T10:39:50.480Z] The best model improves the baseline by 14.52%. [2025-07-15T10:39:50.480Z] Top recommended movies for user id 72: [2025-07-15T10:39:50.480Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-15T10:39:50.480Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-15T10:39:50.480Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-15T10:39:50.480Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-15T10:39:50.480Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-15T10:39:50.480Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (13022.624 ms) ====== [2025-07-15T10:39:50.480Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-07-15T10:39:50.840Z] GC before operation: completed in 104.502 ms, heap usage 311.567 MB -> 88.596 MB. [2025-07-15T10:39:52.666Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-15T10:39:55.106Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-15T10:39:56.913Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-15T10:39:59.402Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-15T10:40:00.204Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-15T10:40:01.477Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-15T10:40:02.765Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-15T10:40:04.049Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-15T10:40:04.050Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-15T10:40:04.050Z] The best model improves the baseline by 14.52%. [2025-07-15T10:40:04.435Z] Top recommended movies for user id 72: [2025-07-15T10:40:04.435Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-15T10:40:04.435Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-15T10:40:04.435Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-15T10:40:04.435Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-15T10:40:04.435Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-15T10:40:04.435Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (13625.980 ms) ====== [2025-07-15T10:40:04.435Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-07-15T10:40:04.435Z] GC before operation: completed in 104.535 ms, heap usage 312.962 MB -> 88.741 MB. [2025-07-15T10:40:06.229Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-15T10:40:08.738Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-15T10:40:10.560Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-15T10:40:12.390Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-15T10:40:14.215Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-15T10:40:14.992Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-15T10:40:16.266Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-15T10:40:17.512Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-15T10:40:17.512Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-15T10:40:17.512Z] The best model improves the baseline by 14.52%. [2025-07-15T10:40:17.875Z] Top recommended movies for user id 72: [2025-07-15T10:40:17.875Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-15T10:40:17.875Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-15T10:40:17.875Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-15T10:40:17.875Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-15T10:40:17.875Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-15T10:40:17.875Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (13328.209 ms) ====== [2025-07-15T10:40:17.875Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-07-15T10:40:17.875Z] GC before operation: completed in 81.615 ms, heap usage 108.063 MB -> 88.343 MB. [2025-07-15T10:40:19.668Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-15T10:40:22.103Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-15T10:40:23.914Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-15T10:40:26.439Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-15T10:40:27.380Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-15T10:40:28.171Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-15T10:40:29.450Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-15T10:40:30.723Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-15T10:40:31.097Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-15T10:40:31.098Z] The best model improves the baseline by 14.52%. [2025-07-15T10:40:31.098Z] Top recommended movies for user id 72: [2025-07-15T10:40:31.098Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-15T10:40:31.098Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-15T10:40:31.098Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-15T10:40:31.098Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-15T10:40:31.098Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-15T10:40:31.098Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (13206.472 ms) ====== [2025-07-15T10:40:31.098Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-07-15T10:40:31.098Z] GC before operation: completed in 94.820 ms, heap usage 154.120 MB -> 88.598 MB. [2025-07-15T10:40:32.944Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-15T10:40:34.770Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-15T10:40:36.585Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-15T10:40:38.385Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-15T10:40:39.632Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-15T10:40:40.916Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-15T10:40:41.700Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-15T10:40:42.952Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-15T10:40:43.311Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-15T10:40:43.311Z] The best model improves the baseline by 14.52%. [2025-07-15T10:40:43.311Z] Top recommended movies for user id 72: [2025-07-15T10:40:43.311Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-15T10:40:43.311Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-15T10:40:43.311Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-15T10:40:43.311Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-15T10:40:43.311Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-15T10:40:43.311Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (12129.494 ms) ====== [2025-07-15T10:40:43.311Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-07-15T10:40:43.311Z] GC before operation: completed in 89.525 ms, heap usage 128.384 MB -> 88.379 MB. [2025-07-15T10:40:45.169Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-15T10:40:47.020Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-15T10:40:48.852Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-15T10:40:51.306Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-15T10:40:52.097Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-15T10:40:53.371Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-15T10:40:54.639Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-15T10:40:55.911Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-15T10:40:55.912Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-15T10:40:55.912Z] The best model improves the baseline by 14.52%. [2025-07-15T10:40:55.912Z] Top recommended movies for user id 72: [2025-07-15T10:40:55.912Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-15T10:40:55.912Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-15T10:40:55.912Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-15T10:40:55.912Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-15T10:40:55.912Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-15T10:40:55.912Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (12677.934 ms) ====== [2025-07-15T10:40:55.912Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-07-15T10:40:56.270Z] GC before operation: completed in 103.218 ms, heap usage 168.464 MB -> 88.588 MB. [2025-07-15T10:40:58.063Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-15T10:41:00.550Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-15T10:41:02.359Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-15T10:41:04.267Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-15T10:41:05.048Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-15T10:41:06.315Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-15T10:41:07.614Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-15T10:41:08.928Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-15T10:41:08.928Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-15T10:41:08.928Z] The best model improves the baseline by 14.52%. [2025-07-15T10:41:08.928Z] Top recommended movies for user id 72: [2025-07-15T10:41:08.928Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-15T10:41:08.928Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-15T10:41:08.928Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-15T10:41:08.928Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-15T10:41:08.928Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-15T10:41:08.928Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (12853.178 ms) ====== [2025-07-15T10:41:08.928Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-07-15T10:41:08.928Z] GC before operation: completed in 93.847 ms, heap usage 389.034 MB -> 88.703 MB. [2025-07-15T10:41:10.745Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-15T10:41:13.234Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-15T10:41:15.024Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-15T10:41:16.833Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-15T10:41:18.108Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-15T10:41:19.381Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-15T10:41:20.665Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-15T10:41:21.935Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-15T10:41:21.935Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-15T10:41:22.303Z] The best model improves the baseline by 14.52%. [2025-07-15T10:41:22.303Z] Top recommended movies for user id 72: [2025-07-15T10:41:22.303Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-15T10:41:22.303Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-15T10:41:22.303Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-15T10:41:22.303Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-15T10:41:22.303Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-15T10:41:22.303Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (13161.020 ms) ====== [2025-07-15T10:41:22.303Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-07-15T10:41:22.303Z] GC before operation: completed in 97.836 ms, heap usage 206.969 MB -> 89.650 MB. [2025-07-15T10:41:24.129Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-15T10:41:25.920Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-15T10:41:28.399Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-15T10:41:30.288Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-15T10:41:31.059Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-15T10:41:32.348Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-15T10:41:33.131Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-15T10:41:34.371Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-15T10:41:34.371Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063003101263983. [2025-07-15T10:41:34.371Z] The best model improves the baseline by 14.52%. [2025-07-15T10:41:34.371Z] Top recommended movies for user id 72: [2025-07-15T10:41:34.371Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-07-15T10:41:34.371Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-07-15T10:41:34.371Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-07-15T10:41:34.371Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-07-15T10:41:34.371Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-07-15T10:41:34.371Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (12177.185 ms) ====== [2025-07-15T10:41:34.731Z] ----------------------------------- [2025-07-15T10:41:34.731Z] renaissance-movie-lens_0_PASSED [2025-07-15T10:41:34.731Z] ----------------------------------- [2025-07-15T10:41:34.731Z] [2025-07-15T10:41:34.731Z] TEST TEARDOWN: [2025-07-15T10:41:34.731Z] Nothing to be done for teardown. [2025-07-15T10:41:34.731Z] renaissance-movie-lens_0 Finish Time: Tue Jul 15 06:41:34 2025 Epoch Time (ms): 1752576094608