[2025-06-19T03:58:20.093Z] Running test renaissance-movie-lens_0 ... [2025-06-19T03:58:20.093Z] =============================================== [2025-06-19T03:58:20.093Z] renaissance-movie-lens_0 Start Time: Thu Jun 19 04:58:20 2025 Epoch Time (ms): 1750305500061 [2025-06-19T03:58:20.093Z] variation: NoOptions [2025-06-19T03:58:20.093Z] JVM_OPTIONS: [2025-06-19T03:58:20.093Z] { \ [2025-06-19T03:58:20.093Z] echo ""; echo "TEST SETUP:"; \ [2025-06-19T03:58:20.093Z] echo "Nothing to be done for setup."; \ [2025-06-19T03:58:20.093Z] mkdir -p "/Users/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17502945042457/renaissance-movie-lens_0"; \ [2025-06-19T03:58:20.093Z] cd "/Users/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17502945042457/renaissance-movie-lens_0"; \ [2025-06-19T03:58:20.093Z] echo ""; echo "TESTING:"; \ [2025-06-19T03:58:20.093Z] "/Users/jenkins/workspace/Test_openjdk17_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_openjdk17_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17502945042457/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-06-19T03:58:20.093Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac/aqa-tests/TKG/..; rm -f -r "/Users/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17502945042457/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-06-19T03:58:20.093Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-06-19T03:58:20.093Z] echo "Nothing to be done for teardown."; \ [2025-06-19T03:58:20.093Z] } 2>&1 | tee -a "/Users/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_mac/aqa-tests/TKG/../TKG/output_17502945042457/TestTargetResult"; [2025-06-19T03:58:20.093Z] [2025-06-19T03:58:20.093Z] TEST SETUP: [2025-06-19T03:58:20.093Z] Nothing to be done for setup. [2025-06-19T03:58:20.093Z] [2025-06-19T03:58:20.093Z] TESTING: [2025-06-19T03:58:27.641Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 8) threads. [2025-06-19T03:58:36.783Z] Got 100004 ratings from 671 users on 9066 movies. [2025-06-19T03:58:36.783Z] Training: 60056, validation: 20285, test: 19854 [2025-06-19T03:58:36.783Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-06-19T03:58:36.783Z] GC before operation: completed in 93.309 ms, heap usage 316.974 MB -> 76.388 MB. [2025-06-19T03:59:04.958Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T03:59:24.482Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T03:59:47.953Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T04:00:04.177Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T04:00:15.281Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T04:00:24.469Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T04:00:35.647Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T04:00:44.820Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T04:00:45.172Z] 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. [2025-06-19T04:00:45.172Z] The best model improves the baseline by 14.43%. [2025-06-19T04:00:45.526Z] Top recommended movies for user id 72: [2025-06-19T04:00:45.526Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-19T04:00:45.526Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-19T04:00:45.526Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-19T04:00:45.526Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-19T04:00:45.526Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-19T04:00:45.526Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (129410.569 ms) ====== [2025-06-19T04:00:45.526Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-06-19T04:00:45.526Z] GC before operation: completed in 114.878 ms, heap usage 1018.327 MB -> 113.722 MB. [2025-06-19T04:01:06.325Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T04:01:25.813Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T04:01:49.427Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T04:02:05.628Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T04:02:14.774Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T04:02:23.925Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T04:02:37.373Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T04:02:46.534Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T04:02:46.534Z] 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. [2025-06-19T04:02:46.534Z] The best model improves the baseline by 14.43%. [2025-06-19T04:02:46.891Z] Top recommended movies for user id 72: [2025-06-19T04:02:46.891Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-19T04:02:46.891Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-19T04:02:46.891Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-19T04:02:46.891Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-19T04:02:46.891Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-19T04:02:46.891Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (121257.715 ms) ====== [2025-06-19T04:02:46.891Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-06-19T04:02:46.891Z] GC before operation: completed in 117.643 ms, heap usage 1.003 GB -> 119.740 MB. [2025-06-19T04:03:10.352Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T04:03:36.218Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T04:04:04.435Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T04:04:17.893Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T04:04:29.070Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T04:04:38.312Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T04:04:51.746Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T04:05:00.899Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T04:05:00.899Z] 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. [2025-06-19T04:05:00.899Z] The best model improves the baseline by 14.43%. [2025-06-19T04:05:01.252Z] Top recommended movies for user id 72: [2025-06-19T04:05:01.252Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-19T04:05:01.252Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-19T04:05:01.252Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-19T04:05:01.252Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-19T04:05:01.252Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-19T04:05:01.252Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (134309.718 ms) ====== [2025-06-19T04:05:01.252Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-06-19T04:05:01.252Z] GC before operation: completed in 122.286 ms, heap usage 707.985 MB -> 121.246 MB. [2025-06-19T04:05:24.705Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T04:05:44.224Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T04:06:07.694Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T04:06:23.914Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T04:06:35.031Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T04:06:46.157Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T04:06:59.803Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T04:07:09.004Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T04:07:09.359Z] 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. [2025-06-19T04:07:09.359Z] The best model improves the baseline by 14.43%. [2025-06-19T04:07:09.359Z] Top recommended movies for user id 72: [2025-06-19T04:07:09.359Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-19T04:07:09.359Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-19T04:07:09.359Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-19T04:07:09.359Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-19T04:07:09.359Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-19T04:07:09.359Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (128193.244 ms) ====== [2025-06-19T04:07:09.359Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-06-19T04:07:09.713Z] GC before operation: completed in 123.142 ms, heap usage 820.028 MB -> 121.631 MB. [2025-06-19T04:07:33.172Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T04:08:02.933Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T04:08:22.482Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T04:08:42.020Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T04:08:51.203Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T04:09:00.360Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T04:09:13.846Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T04:09:21.361Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T04:09:21.361Z] 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. [2025-06-19T04:09:21.361Z] The best model improves the baseline by 14.43%. [2025-06-19T04:09:21.715Z] Top recommended movies for user id 72: [2025-06-19T04:09:21.715Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-19T04:09:21.715Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-19T04:09:21.715Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-19T04:09:21.715Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-19T04:09:21.715Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-19T04:09:21.715Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (132056.263 ms) ====== [2025-06-19T04:09:21.715Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-06-19T04:09:21.715Z] GC before operation: completed in 133.600 ms, heap usage 804.728 MB -> 121.496 MB. [2025-06-19T04:09:45.227Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T04:10:10.651Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T04:10:34.139Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T04:10:50.349Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T04:11:01.485Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T04:11:10.640Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T04:11:24.089Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T04:11:31.606Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T04:11:32.371Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-06-19T04:11:32.371Z] The best model improves the baseline by 14.43%. [2025-06-19T04:11:32.371Z] Top recommended movies for user id 72: [2025-06-19T04:11:32.371Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-19T04:11:32.371Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-19T04:11:32.371Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-19T04:11:32.371Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-19T04:11:32.371Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-19T04:11:32.371Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (130634.905 ms) ====== [2025-06-19T04:11:32.371Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-06-19T04:11:32.725Z] GC before operation: completed in 118.576 ms, heap usage 406.723 MB -> 121.488 MB. [2025-06-19T04:11:56.235Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T04:12:19.690Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T04:12:43.159Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T04:12:59.367Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T04:13:10.576Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T04:13:19.738Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T04:13:33.205Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T04:13:40.714Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T04:13:41.469Z] 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. [2025-06-19T04:13:41.469Z] The best model improves the baseline by 14.43%. [2025-06-19T04:13:41.469Z] Top recommended movies for user id 72: [2025-06-19T04:13:41.469Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-19T04:13:41.469Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-19T04:13:41.469Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-19T04:13:41.469Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-19T04:13:41.469Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-19T04:13:41.469Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (129024.645 ms) ====== [2025-06-19T04:13:41.469Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-06-19T04:13:41.822Z] GC before operation: completed in 124.198 ms, heap usage 689.669 MB -> 121.849 MB. [2025-06-19T04:14:05.271Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T04:14:24.825Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T04:14:48.294Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T04:15:04.547Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T04:15:17.990Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T04:15:34.905Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T04:15:48.343Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T04:16:06.459Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T04:16:06.459Z] 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. [2025-06-19T04:16:06.459Z] The best model improves the baseline by 14.43%. [2025-06-19T04:16:06.459Z] Top recommended movies for user id 72: [2025-06-19T04:16:06.459Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-19T04:16:06.459Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-19T04:16:06.459Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-19T04:16:06.459Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-19T04:16:06.459Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-19T04:16:06.459Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (143994.982 ms) ====== [2025-06-19T04:16:06.459Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-06-19T04:16:06.459Z] GC before operation: completed in 125.253 ms, heap usage 704.677 MB -> 121.878 MB. [2025-06-19T04:16:36.184Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T04:16:55.702Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T04:17:19.146Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T04:17:35.355Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T04:17:46.470Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T04:17:55.632Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T04:18:09.074Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T04:18:16.580Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T04:18:16.935Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-06-19T04:18:16.935Z] The best model improves the baseline by 14.43%. [2025-06-19T04:18:16.935Z] Top recommended movies for user id 72: [2025-06-19T04:18:16.935Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-19T04:18:16.935Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-19T04:18:16.935Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-19T04:18:16.935Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-19T04:18:16.935Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-19T04:18:16.935Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (131263.273 ms) ====== [2025-06-19T04:18:16.935Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-06-19T04:18:17.288Z] GC before operation: completed in 122.546 ms, heap usage 809.852 MB -> 121.799 MB. [2025-06-19T04:18:40.753Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T04:19:05.011Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T04:19:37.697Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T04:19:53.936Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T04:20:05.051Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T04:20:14.224Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T04:20:27.670Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T04:20:36.830Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T04:20:36.830Z] 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. [2025-06-19T04:20:36.830Z] The best model improves the baseline by 14.43%. [2025-06-19T04:20:36.830Z] Top recommended movies for user id 72: [2025-06-19T04:20:36.830Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-19T04:20:36.830Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-19T04:20:36.830Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-19T04:20:36.830Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-19T04:20:36.830Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-19T04:20:36.830Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (139000.224 ms) ====== [2025-06-19T04:20:36.830Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-06-19T04:20:36.830Z] GC before operation: completed in 124.995 ms, heap usage 809.316 MB -> 121.993 MB. [2025-06-19T04:21:00.320Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T04:21:23.866Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T04:21:45.240Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T04:22:04.856Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T04:22:14.018Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T04:22:23.180Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T04:22:36.621Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T04:22:47.770Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T04:22:47.770Z] 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. [2025-06-19T04:22:47.770Z] The best model improves the baseline by 14.43%. [2025-06-19T04:22:47.770Z] Top recommended movies for user id 72: [2025-06-19T04:22:47.770Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-19T04:22:47.770Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-19T04:22:47.770Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-19T04:22:47.770Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-19T04:22:47.770Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-19T04:22:47.770Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (131369.740 ms) ====== [2025-06-19T04:22:47.770Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-06-19T04:22:47.770Z] GC before operation: completed in 120.885 ms, heap usage 618.454 MB -> 102.242 MB. [2025-06-19T04:23:16.496Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T04:23:46.961Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T04:24:10.452Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T04:24:23.915Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T04:24:35.033Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T04:24:44.221Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T04:24:57.661Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T04:25:06.818Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T04:25:06.818Z] 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. [2025-06-19T04:25:06.818Z] The best model improves the baseline by 14.43%. [2025-06-19T04:25:06.818Z] Top recommended movies for user id 72: [2025-06-19T04:25:06.818Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-19T04:25:06.818Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-19T04:25:06.818Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-19T04:25:06.818Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-19T04:25:06.818Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-19T04:25:06.818Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (138661.145 ms) ====== [2025-06-19T04:25:06.818Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-06-19T04:25:06.818Z] GC before operation: completed in 120.448 ms, heap usage 421.961 MB -> 121.759 MB. [2025-06-19T04:25:30.352Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T04:25:49.852Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T04:26:13.331Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T04:26:29.540Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T04:26:42.988Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T04:26:57.484Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T04:27:10.930Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T04:27:25.285Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T04:27:25.285Z] 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. [2025-06-19T04:27:25.286Z] The best model improves the baseline by 14.43%. [2025-06-19T04:27:25.286Z] Top recommended movies for user id 72: [2025-06-19T04:27:25.286Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-19T04:27:25.286Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-19T04:27:25.286Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-19T04:27:25.286Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-19T04:27:25.286Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-19T04:27:25.286Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (138068.039 ms) ====== [2025-06-19T04:27:25.286Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-06-19T04:27:25.286Z] GC before operation: completed in 138.426 ms, heap usage 237.834 MB -> 121.818 MB. [2025-06-19T04:27:48.799Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T04:28:13.925Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T04:28:42.025Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T04:29:01.533Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T04:29:10.744Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T04:29:19.926Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T04:29:33.368Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T04:29:40.911Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T04:29:41.265Z] 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. [2025-06-19T04:29:41.265Z] The best model improves the baseline by 14.43%. [2025-06-19T04:29:41.620Z] Top recommended movies for user id 72: [2025-06-19T04:29:41.620Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-19T04:29:41.620Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-19T04:29:41.620Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-19T04:29:41.620Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-19T04:29:41.620Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-19T04:29:41.620Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (136667.086 ms) ====== [2025-06-19T04:29:41.620Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-06-19T04:29:41.620Z] GC before operation: completed in 115.698 ms, heap usage 422.610 MB -> 114.575 MB. [2025-06-19T04:30:05.069Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T04:30:24.612Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T04:30:48.065Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T04:31:04.273Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T04:31:15.409Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T04:31:24.567Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T04:31:38.009Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T04:31:45.538Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T04:31:45.891Z] 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. [2025-06-19T04:31:45.891Z] The best model improves the baseline by 14.43%. [2025-06-19T04:31:46.247Z] Top recommended movies for user id 72: [2025-06-19T04:31:46.247Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-19T04:31:46.247Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-19T04:31:46.248Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-19T04:31:46.248Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-19T04:31:46.248Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-19T04:31:46.248Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (124667.926 ms) ====== [2025-06-19T04:31:46.248Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-06-19T04:31:46.248Z] GC before operation: completed in 122.707 ms, heap usage 984.375 MB -> 122.272 MB. [2025-06-19T04:32:09.701Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T04:32:33.157Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T04:33:07.178Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T04:33:23.406Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T04:33:35.329Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T04:33:44.484Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T04:33:57.930Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T04:34:05.441Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T04:34:05.441Z] 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. [2025-06-19T04:34:05.441Z] The best model improves the baseline by 14.43%. [2025-06-19T04:34:05.796Z] Top recommended movies for user id 72: [2025-06-19T04:34:05.796Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-19T04:34:05.796Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-19T04:34:05.796Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-19T04:34:05.796Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-19T04:34:05.796Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-19T04:34:05.796Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (139365.654 ms) ====== [2025-06-19T04:34:05.796Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-06-19T04:34:05.796Z] GC before operation: completed in 117.986 ms, heap usage 486.288 MB -> 121.872 MB. [2025-06-19T04:34:29.252Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T04:34:52.723Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T04:35:16.174Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T04:35:32.391Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T04:35:43.510Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T04:35:52.672Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T04:36:06.104Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T04:36:13.611Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T04:36:13.968Z] 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. [2025-06-19T04:36:13.968Z] The best model improves the baseline by 14.43%. [2025-06-19T04:36:13.968Z] Top recommended movies for user id 72: [2025-06-19T04:36:13.968Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-19T04:36:13.968Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-19T04:36:13.968Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-19T04:36:13.968Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-19T04:36:13.968Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-19T04:36:13.968Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (128228.197 ms) ====== [2025-06-19T04:36:13.968Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-06-19T04:36:14.325Z] GC before operation: completed in 130.527 ms, heap usage 477.428 MB -> 121.805 MB. [2025-06-19T04:36:37.770Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T04:36:57.287Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T04:37:25.448Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T04:37:44.957Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T04:37:56.068Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T04:38:07.232Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T04:38:26.748Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T04:38:35.901Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T04:38:35.901Z] 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. [2025-06-19T04:38:35.901Z] The best model improves the baseline by 14.43%. [2025-06-19T04:38:35.901Z] Top recommended movies for user id 72: [2025-06-19T04:38:35.901Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-19T04:38:35.901Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-19T04:38:35.901Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-19T04:38:35.901Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-19T04:38:35.901Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-19T04:38:35.901Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (141237.509 ms) ====== [2025-06-19T04:38:35.901Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-06-19T04:38:35.901Z] GC before operation: completed in 118.414 ms, heap usage 272.469 MB -> 105.809 MB. [2025-06-19T04:38:55.426Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T04:39:18.910Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T04:39:42.409Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T04:39:58.645Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T04:40:07.864Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T04:40:17.024Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T04:40:30.501Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T04:40:39.670Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T04:40:39.670Z] 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. [2025-06-19T04:40:39.670Z] The best model improves the baseline by 14.43%. [2025-06-19T04:40:39.670Z] Top recommended movies for user id 72: [2025-06-19T04:40:39.670Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-19T04:40:39.670Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-19T04:40:39.670Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-19T04:40:39.670Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-19T04:40:39.670Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-19T04:40:39.670Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (123436.498 ms) ====== [2025-06-19T04:40:39.670Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-06-19T04:40:39.670Z] GC before operation: completed in 128.815 ms, heap usage 682.279 MB -> 122.177 MB. [2025-06-19T04:40:59.218Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T04:41:31.308Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T04:41:54.759Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T04:42:14.264Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T04:42:27.703Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T04:42:35.213Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T04:42:48.649Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T04:42:57.819Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T04:42:57.819Z] 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. [2025-06-19T04:42:57.819Z] The best model improves the baseline by 14.43%. [2025-06-19T04:42:57.819Z] Top recommended movies for user id 72: [2025-06-19T04:42:57.819Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-06-19T04:42:57.819Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-06-19T04:42:57.819Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-06-19T04:42:57.819Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-06-19T04:42:57.819Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-06-19T04:42:57.819Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (138597.947 ms) ====== [2025-06-19T04:42:59.568Z] ----------------------------------- [2025-06-19T04:42:59.568Z] renaissance-movie-lens_0_PASSED [2025-06-19T04:42:59.568Z] ----------------------------------- [2025-06-19T04:42:59.568Z] [2025-06-19T04:42:59.568Z] TEST TEARDOWN: [2025-06-19T04:42:59.568Z] Nothing to be done for teardown. [2025-06-19T04:42:59.568Z] renaissance-movie-lens_0 Finish Time: Thu Jun 19 05:42:59 2025 Epoch Time (ms): 1750308179067