[2025-05-07T11:58:31.331Z] Running test renaissance-movie-lens_0 ... [2025-05-07T11:58:31.331Z] =============================================== [2025-05-07T11:58:31.331Z] renaissance-movie-lens_0 Start Time: Wed May 7 07:58:30 2025 Epoch Time (ms): 1746619110802 [2025-05-07T11:58:31.331Z] variation: NoOptions [2025-05-07T11:58:31.331Z] JVM_OPTIONS: [2025-05-07T11:58:31.331Z] { \ [2025-05-07T11:58:31.331Z] echo ""; echo "TEST SETUP:"; \ [2025-05-07T11:58:31.331Z] echo "Nothing to be done for setup."; \ [2025-05-07T11:58:31.331Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17466184215392/renaissance-movie-lens_0"; \ [2025-05-07T11:58:31.331Z] cd "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17466184215392/renaissance-movie-lens_0"; \ [2025-05-07T11:58:31.331Z] echo ""; echo "TESTING:"; \ [2025-05-07T11:58:31.331Z] "/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_17466184215392/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-05-07T11:58:31.331Z] 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_17466184215392/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-05-07T11:58:31.331Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-05-07T11:58:31.331Z] echo "Nothing to be done for teardown."; \ [2025-05-07T11:58:31.331Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk11_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17466184215392/TestTargetResult"; [2025-05-07T11:58:31.331Z] [2025-05-07T11:58:31.331Z] TEST SETUP: [2025-05-07T11:58:31.331Z] Nothing to be done for setup. [2025-05-07T11:58:31.331Z] [2025-05-07T11:58:31.331Z] TESTING: [2025-05-07T11:58:33.883Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 3 (out of 3) threads. [2025-05-07T11:58:37.214Z] 07:58:36.554 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1866 KiB). The maximum recommended task size is 1000 KiB. [2025-05-07T11:58:38.050Z] Got 100004 ratings from 671 users on 9066 movies. [2025-05-07T11:58:38.050Z] Training: 60056, validation: 20285, test: 19854 [2025-05-07T11:58:38.050Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-05-07T11:58:38.050Z] GC before operation: completed in 67.658 ms, heap usage 408.691 MB -> 74.567 MB. [2025-05-07T11:58:40.688Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T11:58:42.608Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T11:58:43.975Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T11:58:45.890Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T11:58:46.715Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T11:58:47.539Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T11:58:48.374Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T11:58:49.200Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T11:58:49.589Z] 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. [2025-05-07T11:58:49.589Z] The best model improves the baseline by 14.52%. [2025-05-07T11:58:49.589Z] Top recommended movies for user id 72: [2025-05-07T11:58:49.589Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-07T11:58:49.589Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-07T11:58:49.589Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-07T11:58:49.589Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-07T11:58:49.589Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-07T11:58:49.589Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (11432.778 ms) ====== [2025-05-07T11:58:49.589Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-05-07T11:58:49.589Z] GC before operation: completed in 71.755 ms, heap usage 408.311 MB -> 85.467 MB. [2025-05-07T11:58:51.540Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T11:58:52.881Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T11:58:54.208Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T11:58:55.542Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T11:58:56.391Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T11:58:57.227Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T11:58:58.052Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T11:58:58.902Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T11:58:58.902Z] 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. [2025-05-07T11:58:59.289Z] The best model improves the baseline by 14.52%. [2025-05-07T11:58:59.289Z] Top recommended movies for user id 72: [2025-05-07T11:58:59.289Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-07T11:58:59.289Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-07T11:58:59.289Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-07T11:58:59.289Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-07T11:58:59.289Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-07T11:58:59.290Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (9550.528 ms) ====== [2025-05-07T11:58:59.290Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-05-07T11:58:59.290Z] GC before operation: completed in 74.216 ms, heap usage 368.066 MB -> 87.419 MB. [2025-05-07T11:59:00.645Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T11:59:02.036Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T11:59:03.409Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T11:59:04.759Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T11:59:06.116Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T11:59:06.507Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T11:59:07.836Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T11:59:08.438Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T11:59:08.438Z] 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. [2025-05-07T11:59:08.438Z] The best model improves the baseline by 14.52%. [2025-05-07T11:59:08.856Z] Top recommended movies for user id 72: [2025-05-07T11:59:08.856Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-07T11:59:08.856Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-07T11:59:08.856Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-07T11:59:08.856Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-07T11:59:08.856Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-07T11:59:08.856Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (9380.741 ms) ====== [2025-05-07T11:59:08.856Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-05-07T11:59:08.856Z] GC before operation: completed in 65.729 ms, heap usage 157.896 MB -> 87.908 MB. [2025-05-07T11:59:10.223Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T11:59:11.553Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T11:59:12.897Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T11:59:14.230Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T11:59:15.061Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T11:59:15.920Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T11:59:16.744Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T11:59:17.572Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T11:59:17.572Z] 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. [2025-05-07T11:59:17.572Z] The best model improves the baseline by 14.52%. [2025-05-07T11:59:17.572Z] Top recommended movies for user id 72: [2025-05-07T11:59:17.572Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-07T11:59:17.572Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-07T11:59:17.573Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-07T11:59:17.573Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-07T11:59:17.573Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-07T11:59:17.573Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (8990.607 ms) ====== [2025-05-07T11:59:17.573Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-05-07T11:59:17.961Z] GC before operation: completed in 72.581 ms, heap usage 170.271 MB -> 88.044 MB. [2025-05-07T11:59:19.311Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T11:59:20.852Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T11:59:22.343Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T11:59:23.338Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T11:59:24.211Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T11:59:25.076Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T11:59:25.948Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T11:59:26.796Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T11:59:26.796Z] 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. [2025-05-07T11:59:26.796Z] The best model improves the baseline by 14.52%. [2025-05-07T11:59:26.796Z] Top recommended movies for user id 72: [2025-05-07T11:59:26.796Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-07T11:59:26.796Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-07T11:59:26.796Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-07T11:59:26.796Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-07T11:59:26.796Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-07T11:59:26.796Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (9021.331 ms) ====== [2025-05-07T11:59:26.796Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-05-07T11:59:26.796Z] GC before operation: completed in 70.411 ms, heap usage 300.573 MB -> 88.132 MB. [2025-05-07T11:59:28.121Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T11:59:29.453Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T11:59:30.784Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T11:59:32.123Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T11:59:32.959Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T11:59:33.359Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T11:59:34.200Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T11:59:35.045Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T11:59:35.432Z] 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. [2025-05-07T11:59:35.432Z] The best model improves the baseline by 14.52%. [2025-05-07T11:59:35.432Z] Top recommended movies for user id 72: [2025-05-07T11:59:35.432Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-07T11:59:35.432Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-07T11:59:35.432Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-07T11:59:35.432Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-07T11:59:35.432Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-07T11:59:35.432Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (8556.498 ms) ====== [2025-05-07T11:59:35.432Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-05-07T11:59:35.432Z] GC before operation: completed in 67.687 ms, heap usage 214.121 MB -> 88.312 MB. [2025-05-07T11:59:36.815Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T11:59:38.138Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T11:59:39.462Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T11:59:40.794Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T11:59:41.624Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T11:59:42.451Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T11:59:43.311Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T11:59:43.697Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T11:59:44.115Z] 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. [2025-05-07T11:59:44.115Z] The best model improves the baseline by 14.52%. [2025-05-07T11:59:44.115Z] Top recommended movies for user id 72: [2025-05-07T11:59:44.115Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-07T11:59:44.115Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-07T11:59:44.115Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-07T11:59:44.115Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-07T11:59:44.115Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-07T11:59:44.115Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (8529.899 ms) ====== [2025-05-07T11:59:44.115Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-05-07T11:59:44.115Z] GC before operation: completed in 61.244 ms, heap usage 259.483 MB -> 88.353 MB. [2025-05-07T11:59:45.464Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T11:59:46.797Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T11:59:48.139Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T11:59:49.484Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T11:59:50.379Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T11:59:50.813Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T11:59:51.664Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T11:59:52.491Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T11:59:52.491Z] 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. [2025-05-07T11:59:52.491Z] The best model improves the baseline by 14.52%. [2025-05-07T11:59:52.491Z] Top recommended movies for user id 72: [2025-05-07T11:59:52.491Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-07T11:59:52.491Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-07T11:59:52.491Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-07T11:59:52.491Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-07T11:59:52.491Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-07T11:59:52.491Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (8535.131 ms) ====== [2025-05-07T11:59:52.491Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-05-07T11:59:52.491Z] GC before operation: completed in 68.015 ms, heap usage 168.188 MB -> 88.434 MB. [2025-05-07T11:59:53.841Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T11:59:55.188Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T11:59:56.519Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T11:59:57.352Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T11:59:58.182Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T11:59:59.006Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T11:59:59.866Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T12:00:00.713Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T12:00:00.713Z] 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. [2025-05-07T12:00:00.713Z] The best model improves the baseline by 14.52%. [2025-05-07T12:00:00.713Z] Top recommended movies for user id 72: [2025-05-07T12:00:00.713Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-07T12:00:00.713Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-07T12:00:00.713Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-07T12:00:00.713Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-07T12:00:00.713Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-07T12:00:00.713Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (7990.263 ms) ====== [2025-05-07T12:00:00.713Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-05-07T12:00:00.713Z] GC before operation: completed in 59.738 ms, heap usage 170.810 MB -> 88.415 MB. [2025-05-07T12:00:02.098Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T12:00:02.943Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T12:00:04.342Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T12:00:05.678Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T12:00:06.516Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T12:00:07.348Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T12:00:08.179Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T12:00:09.034Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T12:00:09.034Z] 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. [2025-05-07T12:00:09.034Z] The best model improves the baseline by 14.52%. [2025-05-07T12:00:09.034Z] Top recommended movies for user id 72: [2025-05-07T12:00:09.034Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-07T12:00:09.034Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-07T12:00:09.034Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-07T12:00:09.034Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-07T12:00:09.034Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-07T12:00:09.034Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (8365.679 ms) ====== [2025-05-07T12:00:09.034Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-05-07T12:00:09.034Z] GC before operation: completed in 59.636 ms, heap usage 226.854 MB -> 88.605 MB. [2025-05-07T12:00:10.379Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T12:00:11.714Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T12:00:13.044Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T12:00:14.387Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T12:00:15.220Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T12:00:16.065Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T12:00:16.916Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T12:00:17.780Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T12:00:17.780Z] 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. [2025-05-07T12:00:17.780Z] The best model improves the baseline by 14.52%. [2025-05-07T12:00:18.186Z] Top recommended movies for user id 72: [2025-05-07T12:00:18.186Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-07T12:00:18.186Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-07T12:00:18.186Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-07T12:00:18.186Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-07T12:00:18.186Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-07T12:00:18.186Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (8820.654 ms) ====== [2025-05-07T12:00:18.186Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-05-07T12:00:18.186Z] GC before operation: completed in 62.769 ms, heap usage 158.770 MB -> 88.303 MB. [2025-05-07T12:00:19.521Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T12:00:20.861Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T12:00:22.216Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T12:00:23.053Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T12:00:23.908Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T12:00:24.746Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T12:00:25.575Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T12:00:26.419Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T12:00:26.419Z] 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. [2025-05-07T12:00:26.419Z] The best model improves the baseline by 14.52%. [2025-05-07T12:00:26.419Z] Top recommended movies for user id 72: [2025-05-07T12:00:26.419Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-07T12:00:26.419Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-07T12:00:26.419Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-07T12:00:26.419Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-07T12:00:26.419Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-07T12:00:26.419Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (8522.430 ms) ====== [2025-05-07T12:00:26.420Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-05-07T12:00:26.805Z] GC before operation: completed in 60.260 ms, heap usage 191.104 MB -> 88.502 MB. [2025-05-07T12:00:28.149Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T12:00:29.497Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T12:00:30.844Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T12:00:32.167Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T12:00:32.994Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T12:00:33.856Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T12:00:34.553Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T12:00:35.558Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T12:00:35.558Z] 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. [2025-05-07T12:00:35.558Z] The best model improves the baseline by 14.52%. [2025-05-07T12:00:35.558Z] Top recommended movies for user id 72: [2025-05-07T12:00:35.558Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-07T12:00:35.558Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-07T12:00:35.558Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-07T12:00:35.558Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-07T12:00:35.558Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-07T12:00:35.558Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (8812.294 ms) ====== [2025-05-07T12:00:35.558Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-05-07T12:00:35.558Z] GC before operation: completed in 63.661 ms, heap usage 240.310 MB -> 88.634 MB. [2025-05-07T12:00:36.987Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T12:00:38.363Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T12:00:39.713Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T12:00:40.554Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T12:00:41.383Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T12:00:42.210Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T12:00:43.064Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T12:00:43.898Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T12:00:43.898Z] 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. [2025-05-07T12:00:43.898Z] The best model improves the baseline by 14.52%. [2025-05-07T12:00:43.898Z] Top recommended movies for user id 72: [2025-05-07T12:00:43.898Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-07T12:00:43.898Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-07T12:00:43.898Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-07T12:00:43.898Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-07T12:00:43.898Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-07T12:00:43.898Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (8493.308 ms) ====== [2025-05-07T12:00:43.898Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-05-07T12:00:43.898Z] GC before operation: completed in 60.288 ms, heap usage 186.235 MB -> 88.385 MB. [2025-05-07T12:00:45.235Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T12:00:46.592Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T12:00:47.941Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T12:00:49.298Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T12:00:50.139Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T12:00:50.978Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T12:00:51.408Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T12:00:52.251Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T12:00:52.251Z] 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. [2025-05-07T12:00:52.685Z] The best model improves the baseline by 14.52%. [2025-05-07T12:00:52.685Z] Top recommended movies for user id 72: [2025-05-07T12:00:52.685Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-07T12:00:52.685Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-07T12:00:52.685Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-07T12:00:52.685Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-07T12:00:52.685Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-07T12:00:52.685Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (8473.564 ms) ====== [2025-05-07T12:00:52.685Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-05-07T12:00:52.685Z] GC before operation: completed in 66.453 ms, heap usage 250.284 MB -> 88.697 MB. [2025-05-07T12:00:54.017Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T12:00:55.342Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T12:00:56.682Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T12:00:58.012Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T12:00:58.850Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T12:00:59.436Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T12:01:00.299Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T12:01:01.184Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T12:01:01.184Z] 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. [2025-05-07T12:01:01.184Z] The best model improves the baseline by 14.52%. [2025-05-07T12:01:01.184Z] Top recommended movies for user id 72: [2025-05-07T12:01:01.184Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-07T12:01:01.184Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-07T12:01:01.184Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-07T12:01:01.184Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-07T12:01:01.184Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-07T12:01:01.184Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (8712.899 ms) ====== [2025-05-07T12:01:01.184Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-05-07T12:01:01.617Z] GC before operation: completed in 76.514 ms, heap usage 158.535 MB -> 88.414 MB. [2025-05-07T12:01:02.479Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T12:01:03.859Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T12:01:05.197Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T12:01:06.532Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T12:01:07.356Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T12:01:08.212Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T12:01:09.050Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T12:01:09.447Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T12:01:09.843Z] 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. [2025-05-07T12:01:09.843Z] The best model improves the baseline by 14.52%. [2025-05-07T12:01:09.843Z] Top recommended movies for user id 72: [2025-05-07T12:01:09.843Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-07T12:01:09.843Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-07T12:01:09.843Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-07T12:01:09.843Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-07T12:01:09.843Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-07T12:01:09.843Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (8345.967 ms) ====== [2025-05-07T12:01:09.843Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-05-07T12:01:09.843Z] GC before operation: completed in 68.755 ms, heap usage 273.363 MB -> 88.741 MB. [2025-05-07T12:01:11.184Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T12:01:12.016Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T12:01:13.467Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T12:01:14.824Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T12:01:15.706Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T12:01:16.128Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T12:01:17.479Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T12:01:17.868Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T12:01:18.255Z] 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. [2025-05-07T12:01:18.255Z] The best model improves the baseline by 14.52%. [2025-05-07T12:01:18.255Z] Top recommended movies for user id 72: [2025-05-07T12:01:18.255Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-07T12:01:18.255Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-07T12:01:18.255Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-07T12:01:18.255Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-07T12:01:18.255Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-07T12:01:18.255Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (8396.169 ms) ====== [2025-05-07T12:01:18.255Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-05-07T12:01:18.255Z] GC before operation: completed in 63.532 ms, heap usage 406.488 MB -> 88.693 MB. [2025-05-07T12:01:19.586Z] RMSE (validation) = 3.6219689545487603 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T12:01:20.937Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T12:01:22.306Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T12:01:23.644Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T12:01:24.475Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T12:01:25.311Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T12:01:26.148Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T12:01:26.994Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T12:01:26.994Z] 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. [2025-05-07T12:01:26.994Z] The best model improves the baseline by 14.52%. [2025-05-07T12:01:26.994Z] Top recommended movies for user id 72: [2025-05-07T12:01:26.994Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-07T12:01:26.994Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-07T12:01:26.994Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-07T12:01:26.994Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-07T12:01:26.994Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-07T12:01:26.994Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (8684.964 ms) ====== [2025-05-07T12:01:26.994Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-05-07T12:01:26.994Z] GC before operation: completed in 60.307 ms, heap usage 202.923 MB -> 88.530 MB. [2025-05-07T12:01:28.334Z] RMSE (validation) = 3.62196895454876 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-07T12:01:29.662Z] RMSE (validation) = 2.1340923221100736 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-07T12:01:30.997Z] RMSE (validation) = 1.3105190428502682 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-07T12:01:31.822Z] RMSE (validation) = 0.9920028100571827 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-07T12:01:32.669Z] RMSE (validation) = 1.212631715629696 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-07T12:01:33.505Z] RMSE (validation) = 1.1025694034386657 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-07T12:01:34.332Z] RMSE (validation) = 0.9259652469249674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-07T12:01:35.169Z] RMSE (validation) = 0.8982232214592321 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-07T12:01:35.169Z] 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. [2025-05-07T12:01:35.169Z] The best model improves the baseline by 14.52%. [2025-05-07T12:01:35.169Z] Top recommended movies for user id 72: [2025-05-07T12:01:35.169Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.677, id: 67504) [2025-05-07T12:01:35.169Z] 2: Goat, The (1921) (rating: 4.677, id: 83318) [2025-05-07T12:01:35.169Z] 3: Play House, The (1921) (rating: 4.677, id: 83359) [2025-05-07T12:01:35.169Z] 4: Cops (1922) (rating: 4.677, id: 83411) [2025-05-07T12:01:35.169Z] 5: Dear Frankie (2004) (rating: 4.360, id: 8530) [2025-05-07T12:01:35.169Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (8126.937 ms) ====== [2025-05-07T12:01:35.169Z] ----------------------------------- [2025-05-07T12:01:35.169Z] renaissance-movie-lens_0_PASSED [2025-05-07T12:01:35.169Z] ----------------------------------- [2025-05-07T12:01:35.169Z] [2025-05-07T12:01:35.169Z] TEST TEARDOWN: [2025-05-07T12:01:35.169Z] Nothing to be done for teardown. [2025-05-07T12:01:35.556Z] renaissance-movie-lens_0 Finish Time: Wed May 7 08:01:35 2025 Epoch Time (ms): 1746619295132