renaissance-movie-lens_0
[2025-07-15T11:36:21.864Z] Running test renaissance-movie-lens_0 ...
[2025-07-15T11:36:21.864Z] ===============================================
[2025-07-15T11:36:21.864Z] renaissance-movie-lens_0 Start Time: Tue Jul 15 11:36:21 2025 Epoch Time (ms): 1752579381566
[2025-07-15T11:36:21.864Z] variation: NoOptions
[2025-07-15T11:36:21.864Z] JVM_OPTIONS:
[2025-07-15T11:36:21.864Z] { \
[2025-07-15T11:36:21.864Z] echo ""; echo "TEST SETUP:"; \
[2025-07-15T11:36:21.864Z] echo "Nothing to be done for setup."; \
[2025-07-15T11:36:21.864Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17525766866101/renaissance-movie-lens_0"; \
[2025-07-15T11:36:21.864Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17525766866101/renaissance-movie-lens_0"; \
[2025-07-15T11:36:21.864Z] echo ""; echo "TESTING:"; \
[2025-07-15T11:36:21.864Z] "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/jdkbinary/j2sdk-image/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 "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17525766866101/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-07-15T11:36:21.864Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17525766866101/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-07-15T11:36:21.864Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-07-15T11:36:21.864Z] echo "Nothing to be done for teardown."; \
[2025-07-15T11:36:21.864Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17525766866101/TestTargetResult";
[2025-07-15T11:36:21.864Z]
[2025-07-15T11:36:21.864Z] TEST SETUP:
[2025-07-15T11:36:21.864Z] Nothing to be done for setup.
[2025-07-15T11:36:21.864Z]
[2025-07-15T11:36:21.864Z] TESTING:
[2025-07-15T11:37:29.036Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 16) threads.
[2025-07-15T11:37:51.150Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-07-15T11:37:51.150Z] Training: 60056, validation: 20285, test: 19854
[2025-07-15T11:37:51.150Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-07-15T11:37:51.150Z] GC before operation: completed in 209.467 ms, heap usage 583.617 MB -> 75.208 MB.
[2025-07-15T11:37:58.059Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T11:38:04.958Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T11:38:24.386Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T11:38:26.864Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T11:38:30.320Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T11:38:32.798Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T11:38:41.135Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T11:38:43.616Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T11:38:44.401Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-07-15T11:38:44.402Z] The best model improves the baseline by 14.43%.
[2025-07-15T11:38:45.180Z] Top recommended movies for user id 72:
[2025-07-15T11:38:45.180Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T11:38:45.180Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T11:38:45.180Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T11:38:45.180Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T11:38:45.180Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T11:38:45.180Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (54873.633 ms) ======
[2025-07-15T11:38:45.180Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-07-15T11:38:45.180Z] GC before operation: completed in 297.074 ms, heap usage 681.416 MB -> 89.030 MB.
[2025-07-15T11:38:49.668Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T11:39:01.396Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T11:39:17.542Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T11:39:20.036Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T11:39:22.540Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T11:39:25.020Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T11:39:34.917Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T11:39:38.380Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T11:39:38.380Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-07-15T11:39:38.380Z] The best model improves the baseline by 14.43%.
[2025-07-15T11:39:39.166Z] Top recommended movies for user id 72:
[2025-07-15T11:39:39.166Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T11:39:39.166Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T11:39:39.166Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T11:39:39.166Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T11:39:39.166Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T11:39:39.166Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (53816.366 ms) ======
[2025-07-15T11:39:39.167Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-07-15T11:39:39.167Z] GC before operation: completed in 232.385 ms, heap usage 402.290 MB -> 90.115 MB.
[2025-07-15T11:39:43.897Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T11:39:52.232Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T11:40:18.050Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T11:40:19.648Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T11:40:23.094Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T11:40:26.528Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T11:40:29.989Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T11:40:32.472Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T11:40:33.250Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-07-15T11:40:33.250Z] The best model improves the baseline by 14.43%.
[2025-07-15T11:40:33.250Z] Top recommended movies for user id 72:
[2025-07-15T11:40:33.250Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T11:40:33.250Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T11:40:33.250Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T11:40:33.250Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T11:40:33.250Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T11:40:33.250Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (54116.825 ms) ======
[2025-07-15T11:40:33.250Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-07-15T11:40:33.250Z] GC before operation: completed in 231.236 ms, heap usage 1.138 GB -> 95.304 MB.
[2025-07-15T11:40:38.889Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T11:40:42.363Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T11:40:49.250Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T11:40:52.681Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T11:40:56.119Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T11:40:58.595Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T11:41:04.227Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T11:41:06.710Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T11:41:07.487Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-07-15T11:41:07.487Z] The best model improves the baseline by 14.43%.
[2025-07-15T11:41:07.487Z] Top recommended movies for user id 72:
[2025-07-15T11:41:07.487Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T11:41:07.487Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T11:41:07.487Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T11:41:07.487Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T11:41:07.487Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T11:41:07.487Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (34049.097 ms) ======
[2025-07-15T11:41:07.487Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-07-15T11:41:07.487Z] GC before operation: completed in 245.478 ms, heap usage 505.788 MB -> 91.245 MB.
[2025-07-15T11:41:12.200Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T11:41:16.685Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T11:41:23.584Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T11:41:27.031Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T11:41:29.522Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T11:41:32.016Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T11:41:34.677Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T11:41:37.169Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T11:41:37.169Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-07-15T11:41:37.169Z] The best model improves the baseline by 14.43%.
[2025-07-15T11:41:37.949Z] Top recommended movies for user id 72:
[2025-07-15T11:41:37.949Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T11:41:37.949Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T11:41:37.949Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T11:41:37.949Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T11:41:37.949Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T11:41:37.949Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (29926.375 ms) ======
[2025-07-15T11:41:37.949Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-07-15T11:41:37.949Z] GC before operation: completed in 254.296 ms, heap usage 1.013 GB -> 94.998 MB.
[2025-07-15T11:41:41.388Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T11:41:45.862Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T11:41:50.339Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T11:41:53.789Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T11:42:02.096Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T11:42:05.536Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T11:42:08.022Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T11:42:09.637Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T11:42:10.410Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-07-15T11:42:10.410Z] The best model improves the baseline by 14.43%.
[2025-07-15T11:42:10.410Z] Top recommended movies for user id 72:
[2025-07-15T11:42:10.410Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T11:42:10.410Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T11:42:10.410Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T11:42:10.410Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T11:42:10.410Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T11:42:10.410Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (32448.760 ms) ======
[2025-07-15T11:42:10.410Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-07-15T11:42:10.410Z] GC before operation: completed in 239.291 ms, heap usage 807.437 MB -> 95.056 MB.
[2025-07-15T11:42:14.932Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T11:42:18.370Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T11:42:23.205Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T11:42:26.685Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T11:42:29.177Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T11:42:31.666Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T11:42:35.102Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T11:42:37.590Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T11:42:37.590Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-07-15T11:42:37.590Z] The best model improves the baseline by 14.43%.
[2025-07-15T11:42:37.590Z] Top recommended movies for user id 72:
[2025-07-15T11:42:37.590Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T11:42:37.590Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T11:42:37.590Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T11:42:37.590Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T11:42:37.590Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T11:42:37.590Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (27299.484 ms) ======
[2025-07-15T11:42:37.590Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-07-15T11:42:38.363Z] GC before operation: completed in 241.139 ms, heap usage 821.329 MB -> 95.072 MB.
[2025-07-15T11:42:41.810Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T11:42:46.306Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T11:42:50.788Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T11:42:54.236Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T11:42:56.712Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T11:42:59.193Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T11:43:01.675Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T11:43:04.169Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T11:43:04.942Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-07-15T11:43:04.942Z] The best model improves the baseline by 14.43%.
[2025-07-15T11:43:04.942Z] Top recommended movies for user id 72:
[2025-07-15T11:43:04.942Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T11:43:04.942Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T11:43:04.942Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T11:43:04.942Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T11:43:04.942Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T11:43:04.942Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (26699.073 ms) ======
[2025-07-15T11:43:04.942Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-07-15T11:43:04.942Z] GC before operation: completed in 212.420 ms, heap usage 432.098 MB -> 91.562 MB.
[2025-07-15T11:43:09.433Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T11:43:15.117Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T11:43:26.818Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T11:43:30.278Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T11:43:34.761Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T11:43:37.286Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T11:43:56.166Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T11:43:56.939Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T11:43:56.939Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-07-15T11:43:56.939Z] The best model improves the baseline by 14.43%.
[2025-07-15T11:43:57.712Z] Top recommended movies for user id 72:
[2025-07-15T11:43:57.712Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T11:43:57.712Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T11:43:57.712Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T11:43:57.712Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T11:43:57.712Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T11:43:57.712Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (52342.896 ms) ======
[2025-07-15T11:43:57.712Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-07-15T11:43:57.712Z] GC before operation: completed in 196.877 ms, heap usage 127.324 MB -> 92.951 MB.
[2025-07-15T11:44:02.187Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T11:44:07.823Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T11:44:13.464Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T11:44:17.938Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T11:44:20.431Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T11:44:22.909Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T11:44:25.406Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T11:44:27.904Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T11:44:28.681Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-07-15T11:44:28.681Z] The best model improves the baseline by 14.43%.
[2025-07-15T11:44:28.681Z] Top recommended movies for user id 72:
[2025-07-15T11:44:28.681Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T11:44:28.681Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T11:44:28.681Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T11:44:28.681Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T11:44:28.681Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T11:44:28.681Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (30876.139 ms) ======
[2025-07-15T11:44:28.681Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-07-15T11:44:28.681Z] GC before operation: completed in 266.875 ms, heap usage 935.000 MB -> 95.400 MB.
[2025-07-15T11:44:33.169Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T11:44:36.605Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T11:44:42.231Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T11:44:45.672Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T11:44:47.273Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T11:44:49.784Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T11:44:53.232Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T11:44:55.032Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T11:44:55.978Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-07-15T11:44:55.978Z] The best model improves the baseline by 14.43%.
[2025-07-15T11:44:55.978Z] Top recommended movies for user id 72:
[2025-07-15T11:44:55.978Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T11:44:55.978Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T11:44:55.978Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T11:44:55.978Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T11:44:55.978Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T11:44:55.978Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (26945.118 ms) ======
[2025-07-15T11:44:55.978Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-07-15T11:44:55.978Z] GC before operation: completed in 220.477 ms, heap usage 517.515 MB -> 91.361 MB.
[2025-07-15T11:45:00.453Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T11:45:03.897Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T11:45:09.673Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T11:45:13.110Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T11:45:15.596Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T11:45:18.092Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T11:45:30.077Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T11:45:33.531Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T11:45:33.531Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-07-15T11:45:33.531Z] The best model improves the baseline by 14.43%.
[2025-07-15T11:45:33.531Z] Top recommended movies for user id 72:
[2025-07-15T11:45:33.531Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T11:45:33.531Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T11:45:33.531Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T11:45:33.531Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T11:45:33.531Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T11:45:33.531Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (37631.356 ms) ======
[2025-07-15T11:45:33.531Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-07-15T11:45:33.531Z] GC before operation: completed in 206.388 ms, heap usage 308.679 MB -> 91.356 MB.
[2025-07-15T11:45:38.007Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T11:45:42.498Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T11:45:49.396Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T11:45:52.837Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T11:45:55.326Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T11:45:56.928Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T11:46:00.381Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T11:46:01.987Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T11:46:02.760Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-07-15T11:46:02.760Z] The best model improves the baseline by 14.43%.
[2025-07-15T11:46:02.760Z] Top recommended movies for user id 72:
[2025-07-15T11:46:02.760Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T11:46:02.760Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T11:46:02.760Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T11:46:02.760Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T11:46:02.760Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T11:46:02.760Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (29096.789 ms) ======
[2025-07-15T11:46:02.760Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-07-15T11:46:03.537Z] GC before operation: completed in 261.616 ms, heap usage 661.436 MB -> 91.910 MB.
[2025-07-15T11:46:06.977Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T11:46:12.597Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T11:46:18.229Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T11:46:21.700Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T11:46:24.175Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T11:46:26.666Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T11:46:30.103Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T11:46:32.600Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T11:46:33.549Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-07-15T11:46:33.549Z] The best model improves the baseline by 14.43%.
[2025-07-15T11:46:33.549Z] Top recommended movies for user id 72:
[2025-07-15T11:46:33.549Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T11:46:33.549Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T11:46:33.549Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T11:46:33.549Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T11:46:33.549Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T11:46:33.549Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (30064.499 ms) ======
[2025-07-15T11:46:33.549Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-07-15T11:46:33.549Z] GC before operation: completed in 197.316 ms, heap usage 1.479 GB -> 96.483 MB.
[2025-07-15T11:46:36.982Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T11:46:43.869Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T11:46:58.204Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T11:46:59.815Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T11:47:02.304Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T11:47:04.814Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T11:47:07.311Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T11:47:09.818Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T11:47:09.818Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-07-15T11:47:09.818Z] The best model improves the baseline by 14.43%.
[2025-07-15T11:47:09.818Z] Top recommended movies for user id 72:
[2025-07-15T11:47:09.818Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T11:47:09.818Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T11:47:09.818Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T11:47:09.818Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T11:47:09.818Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T11:47:09.818Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (36564.186 ms) ======
[2025-07-15T11:47:09.818Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-07-15T11:47:10.592Z] GC before operation: completed in 219.706 ms, heap usage 1.046 GB -> 95.769 MB.
[2025-07-15T11:47:14.031Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T11:47:18.522Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T11:47:26.845Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T11:47:30.296Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T11:47:32.785Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T11:47:35.267Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T11:47:37.748Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T11:47:40.250Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T11:47:40.250Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-07-15T11:47:40.250Z] The best model improves the baseline by 14.43%.
[2025-07-15T11:47:41.023Z] Top recommended movies for user id 72:
[2025-07-15T11:47:41.023Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T11:47:41.023Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T11:47:41.023Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T11:47:41.023Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T11:47:41.023Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T11:47:41.023Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (30507.250 ms) ======
[2025-07-15T11:47:41.023Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-07-15T11:47:41.023Z] GC before operation: completed in 274.068 ms, heap usage 1.180 GB -> 96.019 MB.
[2025-07-15T11:47:44.470Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T11:47:48.977Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T11:47:53.453Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T11:47:55.988Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T11:47:58.482Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T11:48:00.966Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T11:48:03.609Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T11:48:06.110Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T11:48:06.110Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-07-15T11:48:06.110Z] The best model improves the baseline by 14.43%.
[2025-07-15T11:48:06.110Z] Top recommended movies for user id 72:
[2025-07-15T11:48:06.110Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T11:48:06.110Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T11:48:06.110Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T11:48:06.110Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T11:48:06.110Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T11:48:06.110Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (25217.464 ms) ======
[2025-07-15T11:48:06.110Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-07-15T11:48:06.110Z] GC before operation: completed in 233.238 ms, heap usage 773.857 MB -> 95.260 MB.
[2025-07-15T11:48:10.615Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T11:48:14.071Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T11:48:18.547Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T11:48:21.987Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T11:48:24.471Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T11:48:26.960Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T11:48:31.442Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T11:48:33.039Z] RMSE (validation) = 0.9001440981626696 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T11:48:33.815Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-07-15T11:48:33.815Z] The best model improves the baseline by 14.43%.
[2025-07-15T11:48:33.815Z] Top recommended movies for user id 72:
[2025-07-15T11:48:33.815Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T11:48:33.815Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T11:48:33.815Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T11:48:33.815Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T11:48:33.815Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T11:48:33.815Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (27301.399 ms) ======
[2025-07-15T11:48:33.815Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-07-15T11:48:33.815Z] GC before operation: completed in 228.365 ms, heap usage 574.187 MB -> 91.565 MB.
[2025-07-15T11:48:38.325Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T11:48:41.770Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T11:48:46.261Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T11:48:49.697Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T11:48:52.179Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T11:48:54.676Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T11:48:58.119Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T11:49:00.598Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T11:49:00.598Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-07-15T11:49:00.598Z] The best model improves the baseline by 14.43%.
[2025-07-15T11:49:01.372Z] Top recommended movies for user id 72:
[2025-07-15T11:49:01.372Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T11:49:01.372Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T11:49:01.372Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T11:49:01.372Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T11:49:01.372Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T11:49:01.372Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (27204.751 ms) ======
[2025-07-15T11:49:01.372Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-07-15T11:49:01.372Z] GC before operation: completed in 211.630 ms, heap usage 412.058 MB -> 91.639 MB.
[2025-07-15T11:49:05.889Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-07-15T11:49:09.560Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-07-15T11:49:14.073Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-07-15T11:49:17.542Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-07-15T11:49:20.020Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-07-15T11:49:21.637Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-07-15T11:49:24.124Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-07-15T11:49:26.615Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-07-15T11:49:26.616Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535.
[2025-07-15T11:49:26.616Z] The best model improves the baseline by 14.43%.
[2025-07-15T11:49:26.616Z] Top recommended movies for user id 72:
[2025-07-15T11:49:26.616Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504)
[2025-07-15T11:49:26.616Z] 2: Goat, The (1921) (rating: 4.674, id: 83318)
[2025-07-15T11:49:26.616Z] 3: Play House, The (1921) (rating: 4.674, id: 83359)
[2025-07-15T11:49:26.616Z] 4: Cops (1922) (rating: 4.674, id: 83411)
[2025-07-15T11:49:26.616Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530)
[2025-07-15T11:49:26.616Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (25591.276 ms) ======
[2025-07-15T11:49:27.387Z] -----------------------------------
[2025-07-15T11:49:27.387Z] renaissance-movie-lens_0_PASSED
[2025-07-15T11:49:27.387Z] -----------------------------------
[2025-07-15T11:49:27.387Z]
[2025-07-15T11:49:27.387Z] TEST TEARDOWN:
[2025-07-15T11:49:27.387Z] Nothing to be done for teardown.
[2025-07-15T11:49:27.387Z] renaissance-movie-lens_0 Finish Time: Tue Jul 15 11:49:27 2025 Epoch Time (ms): 1752580167189