Test Results Summary Service

renaissance-movie-lens_0

[2026-01-14T02:35:18.641Z] Running test renaissance-movie-lens_0 ... [2026-01-14T02:35:18.641Z] =============================================== [2026-01-14T02:35:18.641Z] renaissance-movie-lens_0 Start Time: Wed Jan 14 02:35:18 2026 Epoch Time (ms): 1768358118270 [2026-01-14T02:35:18.642Z] variation: NoOptions [2026-01-14T02:35:18.642Z] JVM_OPTIONS: [2026-01-14T02:35:18.642Z] { \ [2026-01-14T02:35:18.642Z] echo ""; echo "TEST SETUP:"; \ [2026-01-14T02:35:18.642Z] echo "Nothing to be done for setup."; \ [2026-01-14T02:35:18.642Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17683556038882/renaissance-movie-lens_0"; \ [2026-01-14T02:35:18.642Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17683556038882/renaissance-movie-lens_0"; \ [2026-01-14T02:35:18.642Z] echo ""; echo "TESTING:"; \ [2026-01-14T02:35:18.642Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17683556038882/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-14T02:35:18.642Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17683556038882/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-14T02:35:18.642Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-14T02:35:18.642Z] echo "Nothing to be done for teardown."; \ [2026-01-14T02:35:18.642Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17683556038882/TestTargetResult"; [2026-01-14T02:35:18.642Z] [2026-01-14T02:35:18.642Z] TEST SETUP: [2026-01-14T02:35:18.642Z] Nothing to be done for setup. [2026-01-14T02:35:18.642Z] [2026-01-14T02:35:18.642Z] TESTING: [2026-01-14T02:36:07.271Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 16) threads. [2026-01-14T02:36:42.744Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-14T02:36:42.744Z] Training: 60056, validation: 20285, test: 19854 [2026-01-14T02:36:42.744Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-14T02:36:42.744Z] GC before operation: completed in 172.405 ms, heap usage 941.784 MB -> 75.634 MB. [2026-01-14T02:36:49.855Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T02:36:53.320Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T02:36:59.000Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T02:37:02.471Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T02:37:04.092Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T02:37:06.597Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T02:37:09.096Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T02:37:11.622Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T02:37:11.622Z] 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. [2026-01-14T02:37:11.622Z] The best model improves the baseline by 14.43%. [2026-01-14T02:37:12.403Z] Top recommended movies for user id 72: [2026-01-14T02:37:12.403Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-14T02:37:12.403Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-14T02:37:12.403Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-14T02:37:12.403Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-14T02:37:12.403Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-14T02:37:12.403Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (29585.293 ms) ====== [2026-01-14T02:37:12.403Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-14T02:37:12.403Z] GC before operation: completed in 182.876 ms, heap usage 1.637 GB -> 94.850 MB. [2026-01-14T02:37:15.872Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T02:37:19.338Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T02:37:31.122Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T02:37:35.667Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T02:37:38.191Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T02:37:40.699Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T02:37:44.170Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T02:37:45.782Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T02:37:45.782Z] 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. [2026-01-14T02:37:45.782Z] The best model improves the baseline by 14.43%. [2026-01-14T02:37:46.564Z] Top recommended movies for user id 72: [2026-01-14T02:37:46.564Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-14T02:37:46.564Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-14T02:37:46.564Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-14T02:37:46.564Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-14T02:37:46.564Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-14T02:37:46.564Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (34058.776 ms) ====== [2026-01-14T02:37:46.564Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-14T02:37:46.564Z] GC before operation: completed in 182.713 ms, heap usage 2.553 GB -> 95.914 MB. [2026-01-14T02:37:50.052Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T02:37:53.529Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T02:37:59.210Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T02:38:02.679Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T02:38:05.189Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T02:38:06.805Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T02:38:10.269Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T02:38:11.883Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T02:38:12.666Z] 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. [2026-01-14T02:38:12.666Z] The best model improves the baseline by 14.43%. [2026-01-14T02:38:12.666Z] Top recommended movies for user id 72: [2026-01-14T02:38:12.666Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-14T02:38:12.666Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-14T02:38:12.666Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-14T02:38:12.666Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-14T02:38:12.666Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-14T02:38:12.666Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (26168.104 ms) ====== [2026-01-14T02:38:12.666Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-14T02:38:12.666Z] GC before operation: completed in 211.305 ms, heap usage 2.272 GB -> 96.484 MB. [2026-01-14T02:38:16.138Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T02:38:19.606Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T02:38:24.133Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T02:38:27.616Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T02:38:29.235Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T02:38:31.925Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T02:38:34.426Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T02:38:36.946Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T02:38:36.946Z] 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. [2026-01-14T02:38:36.946Z] The best model improves the baseline by 14.43%. [2026-01-14T02:38:36.946Z] Top recommended movies for user id 72: [2026-01-14T02:38:36.946Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-14T02:38:36.946Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-14T02:38:36.946Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-14T02:38:36.946Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-14T02:38:36.947Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-14T02:38:36.947Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (24339.426 ms) ====== [2026-01-14T02:38:36.947Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-14T02:38:37.727Z] GC before operation: completed in 373.887 ms, heap usage 1.806 GB -> 96.317 MB. [2026-01-14T02:38:41.192Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T02:38:49.603Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T02:39:03.510Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T02:39:06.010Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T02:39:09.469Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T02:39:11.076Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T02:39:14.538Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T02:39:16.154Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T02:39:16.154Z] 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. [2026-01-14T02:39:16.154Z] The best model improves the baseline by 14.43%. [2026-01-14T02:39:16.939Z] Top recommended movies for user id 72: [2026-01-14T02:39:16.939Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-14T02:39:16.939Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-14T02:39:16.939Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-14T02:39:16.939Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-14T02:39:16.939Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-14T02:39:16.939Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (39038.421 ms) ====== [2026-01-14T02:39:16.939Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-14T02:39:16.939Z] GC before operation: completed in 174.526 ms, heap usage 3.257 GB -> 96.765 MB. [2026-01-14T02:39:20.422Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T02:39:23.900Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T02:39:28.428Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T02:39:31.889Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T02:39:33.504Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T02:39:35.124Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T02:39:38.605Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T02:39:40.224Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T02:39:41.004Z] 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. [2026-01-14T02:39:41.004Z] The best model improves the baseline by 14.43%. [2026-01-14T02:39:41.004Z] Top recommended movies for user id 72: [2026-01-14T02:39:41.004Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-14T02:39:41.004Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-14T02:39:41.004Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-14T02:39:41.004Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-14T02:39:41.004Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-14T02:39:41.004Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (24024.023 ms) ====== [2026-01-14T02:39:41.004Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-14T02:39:41.004Z] GC before operation: completed in 214.242 ms, heap usage 2.266 GB -> 97.011 MB. [2026-01-14T02:39:44.473Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T02:39:48.073Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T02:39:55.037Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T02:39:58.516Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T02:40:01.033Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T02:40:03.644Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T02:40:10.593Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T02:40:13.102Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T02:40:13.102Z] 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. [2026-01-14T02:40:13.102Z] The best model improves the baseline by 14.43%. [2026-01-14T02:40:13.883Z] Top recommended movies for user id 72: [2026-01-14T02:40:13.883Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-14T02:40:13.883Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-14T02:40:13.883Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-14T02:40:13.883Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-14T02:40:13.883Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-14T02:40:13.883Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (32495.370 ms) ====== [2026-01-14T02:40:13.883Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-14T02:40:13.883Z] GC before operation: completed in 205.537 ms, heap usage 3.198 GB -> 97.141 MB. [2026-01-14T02:40:18.405Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T02:40:22.915Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T02:40:34.697Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T02:40:38.175Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T02:40:40.698Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T02:40:43.208Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T02:40:46.723Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T02:40:49.251Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T02:40:49.251Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-01-14T02:40:49.251Z] The best model improves the baseline by 14.43%. [2026-01-14T02:40:50.038Z] Top recommended movies for user id 72: [2026-01-14T02:40:50.038Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-14T02:40:50.038Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-14T02:40:50.038Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-14T02:40:50.038Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-14T02:40:50.038Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-14T02:40:50.038Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (35958.104 ms) ====== [2026-01-14T02:40:50.038Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-14T02:40:50.038Z] GC before operation: completed in 219.387 ms, heap usage 472.005 MB -> 91.147 MB. [2026-01-14T02:40:53.525Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T02:40:58.058Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T02:41:04.997Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T02:41:09.518Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T02:41:11.137Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T02:41:13.657Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T02:41:25.457Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T02:41:27.971Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T02:41:27.971Z] 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. [2026-01-14T02:41:27.971Z] The best model improves the baseline by 14.43%. [2026-01-14T02:41:27.971Z] Top recommended movies for user id 72: [2026-01-14T02:41:28.751Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-14T02:41:28.751Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-14T02:41:28.751Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-14T02:41:28.751Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-14T02:41:28.751Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-14T02:41:28.751Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (38261.370 ms) ====== [2026-01-14T02:41:28.751Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-14T02:41:28.751Z] GC before operation: completed in 238.797 ms, heap usage 955.712 MB -> 94.977 MB. [2026-01-14T02:41:32.233Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T02:41:37.925Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T02:41:49.701Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T02:41:53.174Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T02:41:55.684Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T02:41:57.301Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T02:42:01.814Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T02:42:03.437Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T02:42:03.437Z] 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. [2026-01-14T02:42:03.437Z] The best model improves the baseline by 14.43%. [2026-01-14T02:42:03.437Z] Top recommended movies for user id 72: [2026-01-14T02:42:03.437Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-14T02:42:03.437Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-14T02:42:03.437Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-14T02:42:03.437Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-14T02:42:03.437Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-14T02:42:03.437Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (35268.274 ms) ====== [2026-01-14T02:42:03.437Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-14T02:42:04.217Z] GC before operation: completed in 182.392 ms, heap usage 478.676 MB -> 91.220 MB. [2026-01-14T02:42:07.690Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T02:42:11.173Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T02:42:16.876Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T02:42:20.357Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T02:42:22.860Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T02:42:25.389Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T02:42:28.884Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T02:42:30.555Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T02:42:30.555Z] 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. [2026-01-14T02:42:31.347Z] The best model improves the baseline by 14.43%. [2026-01-14T02:42:31.347Z] Top recommended movies for user id 72: [2026-01-14T02:42:31.347Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-14T02:42:31.347Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-14T02:42:31.347Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-14T02:42:31.347Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-14T02:42:31.347Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-14T02:42:31.347Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (27260.790 ms) ====== [2026-01-14T02:42:31.347Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-14T02:42:31.347Z] GC before operation: completed in 245.523 ms, heap usage 2.103 GB -> 96.960 MB. [2026-01-14T02:42:34.829Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T02:42:48.719Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T02:42:52.236Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T02:42:55.738Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T02:42:58.242Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T02:43:00.759Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T02:43:03.270Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T02:43:05.801Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T02:43:06.588Z] 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. [2026-01-14T02:43:06.588Z] The best model improves the baseline by 14.43%. [2026-01-14T02:43:06.588Z] Top recommended movies for user id 72: [2026-01-14T02:43:06.588Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-14T02:43:06.588Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-14T02:43:06.588Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-14T02:43:06.588Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-14T02:43:06.588Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-14T02:43:06.588Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (35104.813 ms) ====== [2026-01-14T02:43:06.588Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-14T02:43:06.588Z] GC before operation: completed in 237.596 ms, heap usage 262.934 MB -> 90.960 MB. [2026-01-14T02:43:11.137Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T02:43:13.653Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T02:43:18.181Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T02:43:20.702Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T02:43:23.214Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T02:43:24.826Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T02:43:27.353Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T02:43:29.869Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T02:43:29.869Z] 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. [2026-01-14T02:43:29.869Z] The best model improves the baseline by 14.43%. [2026-01-14T02:43:29.869Z] Top recommended movies for user id 72: [2026-01-14T02:43:29.869Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-14T02:43:29.869Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-14T02:43:29.870Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-14T02:43:29.870Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-14T02:43:29.870Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-14T02:43:29.870Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (23346.128 ms) ====== [2026-01-14T02:43:29.870Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-14T02:43:30.651Z] GC before operation: completed in 175.303 ms, heap usage 2.398 GB -> 97.430 MB. [2026-01-14T02:43:33.332Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T02:43:37.092Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T02:43:41.438Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T02:43:44.167Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T02:43:45.797Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T02:43:48.304Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T02:43:58.251Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T02:43:59.871Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T02:43:59.871Z] 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. [2026-01-14T02:43:59.871Z] The best model improves the baseline by 14.43%. [2026-01-14T02:44:00.650Z] Top recommended movies for user id 72: [2026-01-14T02:44:00.650Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-14T02:44:00.650Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-14T02:44:00.650Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-14T02:44:00.650Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-14T02:44:00.650Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-14T02:44:00.650Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (30106.932 ms) ====== [2026-01-14T02:44:00.650Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-14T02:44:00.650Z] GC before operation: completed in 171.046 ms, heap usage 2.525 GB -> 97.258 MB. [2026-01-14T02:44:04.107Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T02:44:06.609Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T02:44:11.147Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T02:44:13.658Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T02:44:15.278Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T02:44:17.780Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T02:44:19.391Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T02:44:21.901Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T02:44:21.902Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2026-01-14T02:44:21.902Z] The best model improves the baseline by 14.43%. [2026-01-14T02:44:21.902Z] Top recommended movies for user id 72: [2026-01-14T02:44:21.902Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-14T02:44:21.902Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-14T02:44:21.902Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-14T02:44:21.902Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-14T02:44:21.902Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-14T02:44:21.902Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (21642.333 ms) ====== [2026-01-14T02:44:21.902Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-14T02:44:22.681Z] GC before operation: completed in 171.766 ms, heap usage 2.108 GB -> 97.295 MB. [2026-01-14T02:44:25.186Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T02:44:28.650Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T02:44:33.169Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T02:44:36.652Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T02:44:38.271Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T02:44:39.888Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T02:44:42.390Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T02:44:44.903Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T02:44:44.903Z] 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. [2026-01-14T02:44:44.903Z] The best model improves the baseline by 14.43%. [2026-01-14T02:44:44.903Z] Top recommended movies for user id 72: [2026-01-14T02:44:44.903Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-14T02:44:44.903Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-14T02:44:44.903Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-14T02:44:44.903Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-14T02:44:44.903Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-14T02:44:44.903Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (22591.282 ms) ====== [2026-01-14T02:44:44.903Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-14T02:44:44.903Z] GC before operation: completed in 178.101 ms, heap usage 1.482 GB -> 96.310 MB. [2026-01-14T02:44:48.443Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T02:44:51.903Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T02:44:55.359Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T02:44:58.827Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T02:45:02.297Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T02:45:03.951Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T02:45:07.424Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T02:45:09.080Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T02:45:09.080Z] 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. [2026-01-14T02:45:09.080Z] The best model improves the baseline by 14.43%. [2026-01-14T02:45:09.864Z] Top recommended movies for user id 72: [2026-01-14T02:45:09.864Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-14T02:45:09.864Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-14T02:45:09.864Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-14T02:45:09.864Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-14T02:45:09.864Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-14T02:45:09.864Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (24346.789 ms) ====== [2026-01-14T02:45:09.864Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-14T02:45:09.864Z] GC before operation: completed in 169.905 ms, heap usage 116.163 MB -> 95.225 MB. [2026-01-14T02:45:12.416Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T02:45:15.875Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T02:45:19.368Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T02:45:22.838Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T02:45:24.453Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T02:45:26.062Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T02:45:28.560Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T02:45:30.184Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T02:45:30.963Z] 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. [2026-01-14T02:45:30.963Z] The best model improves the baseline by 14.43%. [2026-01-14T02:45:30.963Z] Top recommended movies for user id 72: [2026-01-14T02:45:30.963Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-14T02:45:30.963Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-14T02:45:30.963Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-14T02:45:30.963Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-14T02:45:30.963Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-14T02:45:30.963Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (21367.820 ms) ====== [2026-01-14T02:45:30.963Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-14T02:45:30.963Z] GC before operation: completed in 169.012 ms, heap usage 2.106 GB -> 97.037 MB. [2026-01-14T02:45:34.431Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T02:45:37.898Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T02:45:41.367Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T02:45:44.836Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T02:45:47.480Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T02:45:49.995Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T02:45:52.501Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T02:45:55.013Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T02:45:55.013Z] 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. [2026-01-14T02:45:55.013Z] The best model improves the baseline by 14.43%. [2026-01-14T02:45:55.793Z] Top recommended movies for user id 72: [2026-01-14T02:45:55.793Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-14T02:45:55.793Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-14T02:45:55.793Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-14T02:45:55.793Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-14T02:45:55.793Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-14T02:45:55.793Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (24340.379 ms) ====== [2026-01-14T02:45:55.793Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-14T02:45:55.793Z] GC before operation: completed in 248.703 ms, heap usage 146.531 MB -> 93.792 MB. [2026-01-14T02:45:59.266Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-14T02:46:03.817Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-14T02:46:15.602Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-14T02:46:19.082Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-14T02:46:20.704Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-14T02:46:23.220Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-14T02:46:25.732Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-14T02:46:28.241Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-14T02:46:28.241Z] 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. [2026-01-14T02:46:28.241Z] The best model improves the baseline by 14.43%. [2026-01-14T02:46:29.021Z] Top recommended movies for user id 72: [2026-01-14T02:46:29.021Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2026-01-14T02:46:29.021Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2026-01-14T02:46:29.021Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2026-01-14T02:46:29.021Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2026-01-14T02:46:29.021Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2026-01-14T02:46:29.021Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (32975.541 ms) ====== [2026-01-14T02:46:29.804Z] ----------------------------------- [2026-01-14T02:46:29.804Z] renaissance-movie-lens_0_PASSED [2026-01-14T02:46:29.804Z] ----------------------------------- [2026-01-14T02:46:29.804Z] [2026-01-14T02:46:29.804Z] TEST TEARDOWN: [2026-01-14T02:46:29.804Z] Nothing to be done for teardown. [2026-01-14T02:46:29.804Z] renaissance-movie-lens_0 Finish Time: Wed Jan 14 02:46:29 2026 Epoch Time (ms): 1768358789255