[2025-08-02T00:26:44.724Z] Running test renaissance-movie-lens_0 ... [2025-08-02T00:26:44.724Z] =============================================== [2025-08-02T00:26:44.724Z] renaissance-movie-lens_0 Start Time: Sat Aug 2 01:26:43 2025 Epoch Time (ms): 1754094403934 [2025-08-02T00:26:44.724Z] variation: NoOptions [2025-08-02T00:26:44.724Z] JVM_OPTIONS: [2025-08-02T00:26:44.724Z] { \ [2025-08-02T00:26:44.724Z] echo ""; echo "TEST SETUP:"; \ [2025-08-02T00:26:44.724Z] echo "Nothing to be done for setup."; \ [2025-08-02T00:26:44.724Z] mkdir -p "/Users/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17540820752912/renaissance-movie-lens_0"; \ [2025-08-02T00:26:44.724Z] cd "/Users/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17540820752912/renaissance-movie-lens_0"; \ [2025-08-02T00:26:44.724Z] echo ""; echo "TESTING:"; \ [2025-08-02T00:26:44.724Z] "/Users/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_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/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17540820752912/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-08-02T00:26:44.724Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac/aqa-tests/TKG/..; rm -f -r "/Users/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17540820752912/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-08-02T00:26:44.724Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-08-02T00:26:44.724Z] echo "Nothing to be done for teardown."; \ [2025-08-02T00:26:44.724Z] } 2>&1 | tee -a "/Users/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17540820752912/TestTargetResult"; [2025-08-02T00:26:44.724Z] [2025-08-02T00:26:44.724Z] TEST SETUP: [2025-08-02T00:26:44.724Z] Nothing to be done for setup. [2025-08-02T00:26:44.724Z] [2025-08-02T00:26:44.724Z] TESTING: [2025-08-02T00:26:50.829Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 8) threads. [2025-08-02T00:27:01.912Z] Got 100004 ratings from 671 users on 9066 movies. [2025-08-02T00:27:02.664Z] Training: 60056, validation: 20285, test: 19854 [2025-08-02T00:27:02.664Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-08-02T00:27:02.664Z] GC before operation: completed in 125.499 ms, heap usage 343.024 MB -> 75.021 MB. [2025-08-02T00:27:30.809Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-02T00:27:50.362Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-02T00:28:13.771Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-02T00:28:29.960Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-02T00:28:43.364Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-02T00:28:50.865Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-02T00:29:04.276Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-02T00:29:13.413Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-02T00:29:13.766Z] 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. [2025-08-02T00:29:13.767Z] The best model improves the baseline by 14.43%. [2025-08-02T00:29:14.116Z] Top recommended movies for user id 72: [2025-08-02T00:29:14.116Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-08-02T00:29:14.116Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-08-02T00:29:14.116Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-08-02T00:29:14.116Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-08-02T00:29:14.116Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-08-02T00:29:14.116Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (131252.734 ms) ====== [2025-08-02T00:29:14.116Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-08-02T00:29:14.116Z] GC before operation: completed in 194.727 ms, heap usage 647.502 MB -> 90.880 MB. [2025-08-02T00:29:37.537Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-02T00:29:57.042Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-02T00:30:25.178Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-02T00:30:44.658Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-02T00:30:55.743Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-02T00:31:06.884Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-02T00:31:20.308Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-02T00:31:31.429Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-02T00:31:31.429Z] 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. [2025-08-02T00:31:31.429Z] The best model improves the baseline by 14.43%. [2025-08-02T00:31:31.429Z] Top recommended movies for user id 72: [2025-08-02T00:31:31.429Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-08-02T00:31:31.429Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-08-02T00:31:31.429Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-08-02T00:31:31.429Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-08-02T00:31:31.429Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-08-02T00:31:31.429Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (136862.229 ms) ====== [2025-08-02T00:31:31.429Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-08-02T00:31:31.429Z] GC before operation: completed in 227.830 ms, heap usage 289.509 MB -> 95.309 MB. [2025-08-02T00:31:54.845Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-02T00:32:18.330Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-02T00:32:41.757Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-02T00:33:01.237Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-02T00:33:12.327Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-02T00:33:21.482Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-02T00:33:34.893Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-02T00:33:44.029Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-02T00:33:44.380Z] 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. [2025-08-02T00:33:44.380Z] The best model improves the baseline by 14.43%. [2025-08-02T00:33:44.730Z] Top recommended movies for user id 72: [2025-08-02T00:33:44.730Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-08-02T00:33:44.730Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-08-02T00:33:44.730Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-08-02T00:33:44.730Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-08-02T00:33:44.730Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-08-02T00:33:44.730Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (133318.865 ms) ====== [2025-08-02T00:33:44.730Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-08-02T00:33:45.081Z] GC before operation: completed in 336.680 ms, heap usage 1.773 GB -> 114.990 MB. [2025-08-02T00:34:08.504Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-02T00:34:28.003Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-02T00:34:56.127Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-02T00:35:12.313Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-02T00:35:25.724Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-02T00:35:34.879Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-02T00:35:48.299Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-02T00:35:59.398Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-02T00:35:59.398Z] 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. [2025-08-02T00:35:59.398Z] The best model improves the baseline by 14.43%. [2025-08-02T00:35:59.398Z] Top recommended movies for user id 72: [2025-08-02T00:35:59.398Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-08-02T00:35:59.398Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-08-02T00:35:59.398Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-08-02T00:35:59.398Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-08-02T00:35:59.398Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-08-02T00:35:59.398Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (133587.551 ms) ====== [2025-08-02T00:35:59.398Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-08-02T00:35:59.398Z] GC before operation: completed in 195.088 ms, heap usage 691.477 MB -> 96.700 MB. [2025-08-02T00:36:22.814Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-02T00:36:42.323Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-02T00:37:10.438Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-02T00:37:26.619Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-02T00:37:37.699Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-02T00:37:46.842Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-02T00:38:03.015Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-02T00:38:10.504Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-02T00:38:10.853Z] 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. [2025-08-02T00:38:10.853Z] The best model improves the baseline by 14.43%. [2025-08-02T00:38:11.203Z] Top recommended movies for user id 72: [2025-08-02T00:38:11.203Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-08-02T00:38:11.203Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-08-02T00:38:11.203Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-08-02T00:38:11.203Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-08-02T00:38:11.203Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-08-02T00:38:11.203Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (132466.797 ms) ====== [2025-08-02T00:38:11.203Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-08-02T00:38:11.203Z] GC before operation: completed in 191.743 ms, heap usage 305.139 MB -> 96.360 MB. [2025-08-02T00:38:34.615Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-02T00:38:54.088Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-02T00:39:22.211Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-02T00:39:38.403Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-02T00:39:49.505Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-02T00:40:00.602Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-02T00:40:14.067Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-02T00:40:23.206Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-02T00:40:23.557Z] 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. [2025-08-02T00:40:23.557Z] The best model improves the baseline by 14.43%. [2025-08-02T00:40:23.910Z] Top recommended movies for user id 72: [2025-08-02T00:40:23.910Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-08-02T00:40:23.910Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-08-02T00:40:23.910Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-08-02T00:40:23.910Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-08-02T00:40:23.910Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-08-02T00:40:23.910Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (132509.373 ms) ====== [2025-08-02T00:40:23.910Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-08-02T00:40:23.910Z] GC before operation: completed in 199.485 ms, heap usage 861.093 MB -> 94.675 MB. [2025-08-02T00:40:47.319Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-02T00:41:06.792Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-02T00:41:34.946Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-02T00:41:51.120Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-02T00:42:02.215Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-02T00:42:11.340Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-02T00:42:27.541Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-02T00:42:35.035Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-02T00:42:35.798Z] 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. [2025-08-02T00:42:35.798Z] The best model improves the baseline by 14.43%. [2025-08-02T00:42:35.798Z] Top recommended movies for user id 72: [2025-08-02T00:42:35.798Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-08-02T00:42:35.798Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-08-02T00:42:35.798Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-08-02T00:42:35.798Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-08-02T00:42:35.798Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-08-02T00:42:35.798Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (131871.022 ms) ====== [2025-08-02T00:42:35.798Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-08-02T00:42:36.160Z] GC before operation: completed in 181.421 ms, heap usage 197.609 MB -> 94.260 MB. [2025-08-02T00:42:59.578Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-02T00:43:19.073Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-02T00:43:47.197Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-02T00:44:03.391Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-02T00:44:14.515Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-02T00:44:25.622Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-02T00:44:39.031Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-02T00:44:48.168Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-02T00:44:48.168Z] 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. [2025-08-02T00:44:48.168Z] The best model improves the baseline by 14.43%. [2025-08-02T00:44:48.168Z] Top recommended movies for user id 72: [2025-08-02T00:44:48.168Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-08-02T00:44:48.168Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-08-02T00:44:48.168Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-08-02T00:44:48.168Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-08-02T00:44:48.168Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-08-02T00:44:48.168Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (132175.825 ms) ====== [2025-08-02T00:44:48.169Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-08-02T00:44:48.520Z] GC before operation: completed in 186.684 ms, heap usage 718.130 MB -> 94.717 MB. [2025-08-02T00:45:11.956Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-02T00:45:31.450Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-02T00:45:59.580Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-02T00:46:15.760Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-02T00:46:26.854Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-02T00:46:36.035Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-02T00:46:52.211Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-02T00:46:59.708Z] RMSE (validation) = 0.9001440981626696 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-02T00:47:00.060Z] 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. [2025-08-02T00:47:00.060Z] The best model improves the baseline by 14.43%. [2025-08-02T00:47:00.411Z] Top recommended movies for user id 72: [2025-08-02T00:47:00.411Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-08-02T00:47:00.411Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-08-02T00:47:00.411Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-08-02T00:47:00.411Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-08-02T00:47:00.411Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-08-02T00:47:00.411Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (131891.664 ms) ====== [2025-08-02T00:47:00.411Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-08-02T00:47:00.411Z] GC before operation: completed in 185.467 ms, heap usage 266.655 MB -> 94.312 MB. [2025-08-02T00:47:23.829Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-02T00:47:43.312Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-02T00:48:11.435Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-02T00:48:27.608Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-02T00:48:38.709Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-02T00:48:47.852Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-02T00:49:01.262Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-02T00:49:10.401Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-02T00:49:11.151Z] 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. [2025-08-02T00:49:11.151Z] The best model improves the baseline by 14.43%. [2025-08-02T00:49:11.151Z] Top recommended movies for user id 72: [2025-08-02T00:49:11.151Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-08-02T00:49:11.151Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-08-02T00:49:11.151Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-08-02T00:49:11.151Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-08-02T00:49:11.151Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-08-02T00:49:11.151Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (130639.851 ms) ====== [2025-08-02T00:49:11.151Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-08-02T00:49:11.501Z] GC before operation: completed in 244.996 ms, heap usage 1.136 GB -> 97.278 MB. [2025-08-02T00:49:34.920Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-02T00:49:54.398Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-02T00:50:22.524Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-02T00:50:51.746Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-02T00:51:02.836Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-02T00:51:13.916Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-02T00:51:27.328Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-02T00:51:36.489Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-02T00:51:36.489Z] 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. [2025-08-02T00:51:36.489Z] The best model improves the baseline by 14.43%. [2025-08-02T00:51:36.489Z] Top recommended movies for user id 72: [2025-08-02T00:51:36.489Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-08-02T00:51:36.489Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-08-02T00:51:36.489Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-08-02T00:51:36.489Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-08-02T00:51:36.489Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-08-02T00:51:36.489Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (144430.400 ms) ====== [2025-08-02T00:51:36.489Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-08-02T00:51:36.489Z] GC before operation: completed in 191.518 ms, heap usage 347.152 MB -> 96.542 MB. [2025-08-02T00:51:59.909Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-02T00:52:19.394Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-02T00:52:42.811Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-02T00:53:06.229Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-02T00:53:17.313Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-02T00:53:28.399Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-02T00:53:41.819Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-02T00:53:50.964Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-02T00:53:51.715Z] 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. [2025-08-02T00:53:51.715Z] The best model improves the baseline by 14.43%. [2025-08-02T00:53:52.086Z] Top recommended movies for user id 72: [2025-08-02T00:53:52.086Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-08-02T00:53:52.086Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-08-02T00:53:52.086Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-08-02T00:53:52.086Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-08-02T00:53:52.086Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-08-02T00:53:52.086Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (135842.167 ms) ====== [2025-08-02T00:53:52.086Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-08-02T00:53:52.086Z] GC before operation: completed in 203.787 ms, heap usage 773.526 MB -> 97.147 MB. [2025-08-02T00:54:20.210Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-02T00:54:45.527Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-02T00:55:13.653Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-02T00:55:33.134Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-02T00:55:46.611Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-02T00:55:57.694Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-02T00:56:13.910Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-02T00:56:25.008Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-02T00:56:25.008Z] 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. [2025-08-02T00:56:25.008Z] The best model improves the baseline by 14.43%. [2025-08-02T00:56:25.008Z] Top recommended movies for user id 72: [2025-08-02T00:56:25.008Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-08-02T00:56:25.008Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-08-02T00:56:25.008Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-08-02T00:56:25.008Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-08-02T00:56:25.008Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-08-02T00:56:25.008Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (152357.032 ms) ====== [2025-08-02T00:56:25.008Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-08-02T00:56:25.008Z] GC before operation: completed in 227.934 ms, heap usage 353.472 MB -> 96.892 MB. [2025-08-02T00:56:48.453Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-02T00:57:24.408Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-02T00:57:52.541Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-02T00:58:17.068Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-02T00:58:28.464Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-02T00:58:39.562Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-02T00:58:55.725Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-02T00:59:04.860Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-02T00:59:06.080Z] 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. [2025-08-02T00:59:06.080Z] The best model improves the baseline by 14.43%. [2025-08-02T00:59:06.080Z] Top recommended movies for user id 72: [2025-08-02T00:59:06.080Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-08-02T00:59:06.080Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-08-02T00:59:06.080Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-08-02T00:59:06.080Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-08-02T00:59:06.080Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-08-02T00:59:06.080Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (161540.068 ms) ====== [2025-08-02T00:59:06.080Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-08-02T00:59:06.487Z] GC before operation: completed in 206.896 ms, heap usage 784.315 MB -> 94.715 MB. [2025-08-02T00:59:29.937Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-02T00:59:58.811Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-02T01:00:22.238Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-02T01:00:41.697Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-02T01:00:50.841Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-02T01:01:01.918Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-02T01:01:15.316Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-02T01:01:24.451Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-02T01:01:24.451Z] 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. [2025-08-02T01:01:24.451Z] The best model improves the baseline by 14.43%. [2025-08-02T01:01:24.451Z] Top recommended movies for user id 72: [2025-08-02T01:01:24.451Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-08-02T01:01:24.451Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-08-02T01:01:24.451Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-08-02T01:01:24.451Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-08-02T01:01:24.451Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-08-02T01:01:24.451Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (137974.487 ms) ====== [2025-08-02T01:01:24.451Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-08-02T01:01:24.451Z] GC before operation: completed in 177.061 ms, heap usage 488.489 MB -> 97.117 MB. [2025-08-02T01:01:47.905Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-02T01:02:07.381Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-02T01:02:35.494Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-02T01:02:54.979Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-02T01:03:08.415Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-02T01:03:17.553Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-02T01:03:33.713Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-02T01:03:56.025Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-02T01:03:56.025Z] 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. [2025-08-02T01:03:56.025Z] The best model improves the baseline by 14.43%. [2025-08-02T01:03:56.025Z] Top recommended movies for user id 72: [2025-08-02T01:03:56.025Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-08-02T01:03:56.025Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-08-02T01:03:56.025Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-08-02T01:03:56.025Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-08-02T01:03:56.025Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-08-02T01:03:56.025Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (151265.422 ms) ====== [2025-08-02T01:03:56.025Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-08-02T01:03:56.025Z] GC before operation: completed in 190.998 ms, heap usage 623.120 MB -> 97.072 MB. [2025-08-02T01:04:19.429Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-02T01:04:42.836Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-02T01:05:25.055Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-02T01:05:38.486Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-02T01:05:51.884Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-02T01:05:59.372Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-02T01:06:12.769Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-02T01:06:23.852Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-02T01:06:23.852Z] 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. [2025-08-02T01:06:23.852Z] The best model improves the baseline by 14.43%. [2025-08-02T01:06:23.852Z] Top recommended movies for user id 72: [2025-08-02T01:06:23.852Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-08-02T01:06:23.852Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-08-02T01:06:23.852Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-08-02T01:06:23.852Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-08-02T01:06:23.852Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-08-02T01:06:23.852Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (147207.762 ms) ====== [2025-08-02T01:06:23.852Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-08-02T01:06:23.852Z] GC before operation: completed in 178.207 ms, heap usage 454.765 MB -> 94.547 MB. [2025-08-02T01:06:47.289Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-02T01:07:06.755Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-02T01:07:34.861Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-02T01:07:51.051Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-02T01:08:02.140Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-02T01:08:11.273Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-02T01:08:27.453Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-02T01:08:46.880Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-02T01:08:46.880Z] 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. [2025-08-02T01:08:46.880Z] The best model improves the baseline by 14.43%. [2025-08-02T01:08:46.880Z] Top recommended movies for user id 72: [2025-08-02T01:08:46.880Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-08-02T01:08:46.880Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-08-02T01:08:46.880Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-08-02T01:08:46.880Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-08-02T01:08:46.880Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-08-02T01:08:46.880Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (143290.825 ms) ====== [2025-08-02T01:08:46.880Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-08-02T01:08:46.880Z] GC before operation: completed in 197.241 ms, heap usage 332.272 MB -> 94.370 MB. [2025-08-02T01:09:24.898Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-02T01:09:44.375Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-02T01:10:07.782Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-02T01:10:27.244Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-02T01:10:36.364Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-02T01:10:45.612Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-02T01:10:59.010Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-02T01:11:10.102Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-02T01:11:10.102Z] 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. [2025-08-02T01:11:10.102Z] The best model improves the baseline by 14.43%. [2025-08-02T01:11:10.102Z] Top recommended movies for user id 72: [2025-08-02T01:11:10.102Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-08-02T01:11:10.102Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-08-02T01:11:10.102Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-08-02T01:11:10.102Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-08-02T01:11:10.102Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-08-02T01:11:10.102Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (142367.161 ms) ====== [2025-08-02T01:11:10.102Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-08-02T01:11:10.102Z] GC before operation: completed in 198.786 ms, heap usage 651.493 MB -> 97.153 MB. [2025-08-02T01:11:33.509Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-02T01:11:56.935Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-02T01:12:29.963Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-02T01:12:46.144Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-02T01:12:57.231Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-02T01:13:08.323Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-02T01:13:21.744Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-02T01:13:30.887Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-02T01:13:30.887Z] 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. [2025-08-02T01:13:30.887Z] The best model improves the baseline by 14.43%. [2025-08-02T01:13:31.238Z] Top recommended movies for user id 72: [2025-08-02T01:13:31.238Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-08-02T01:13:31.238Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-08-02T01:13:31.238Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-08-02T01:13:31.238Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-08-02T01:13:31.238Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-08-02T01:13:31.238Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (141631.959 ms) ====== [2025-08-02T01:13:32.455Z] ----------------------------------- [2025-08-02T01:13:32.455Z] renaissance-movie-lens_0_PASSED [2025-08-02T01:13:32.455Z] ----------------------------------- [2025-08-02T01:13:32.455Z] [2025-08-02T01:13:32.455Z] TEST TEARDOWN: [2025-08-02T01:13:32.455Z] Nothing to be done for teardown. [2025-08-02T01:13:32.455Z] renaissance-movie-lens_0 Finish Time: Sat Aug 2 02:13:32 2025 Epoch Time (ms): 1754097212022