Test Results Summary Service

renaissance-movie-lens_0

[2025-12-24T22:44:38.022Z] Running test renaissance-movie-lens_0 ... [2025-12-24T22:44:38.022Z] =============================================== [2025-12-24T22:44:38.022Z] renaissance-movie-lens_0 Start Time: Wed Dec 24 22:44:37 2025 Epoch Time (ms): 1766616277557 [2025-12-24T22:44:38.022Z] variation: NoOptions [2025-12-24T22:44:38.022Z] JVM_OPTIONS: [2025-12-24T22:44:38.022Z] { \ [2025-12-24T22:44:38.022Z] echo ""; echo "TEST SETUP:"; \ [2025-12-24T22:44:38.022Z] echo "Nothing to be done for setup."; \ [2025-12-24T22:44:38.022Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17666149544249/renaissance-movie-lens_0"; \ [2025-12-24T22:44:38.022Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17666149544249/renaissance-movie-lens_0"; \ [2025-12-24T22:44:38.022Z] echo ""; echo "TESTING:"; \ [2025-12-24T22:44:38.022Z] "/home/jenkins/workspace/Test_openjdk21_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_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17666149544249/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-12-24T22:44:38.022Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17666149544249/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-12-24T22:44:38.022Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-12-24T22:44:38.022Z] echo "Nothing to be done for teardown."; \ [2025-12-24T22:44:38.022Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17666149544249/TestTargetResult"; [2025-12-24T22:44:38.022Z] [2025-12-24T22:44:38.022Z] TEST SETUP: [2025-12-24T22:44:38.022Z] Nothing to be done for setup. [2025-12-24T22:44:38.022Z] [2025-12-24T22:44:38.022Z] TESTING: [2025-12-24T22:44:44.931Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 24) threads. [2025-12-24T22:44:56.672Z] Got 100004 ratings from 671 users on 9066 movies. [2025-12-24T22:44:56.672Z] Training: 60056, validation: 20285, test: 19854 [2025-12-24T22:44:56.672Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-12-24T22:44:56.672Z] GC before operation: completed in 137.038 ms, heap usage 684.232 MB -> 75.917 MB. [2025-12-24T22:45:01.275Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:45:04.710Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:45:08.142Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:45:11.576Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:45:13.172Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:45:14.779Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:45:17.260Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:45:18.859Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:45:19.633Z] 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. [2025-12-24T22:45:19.633Z] The best model improves the baseline by 14.43%. [2025-12-24T22:45:19.633Z] Top recommended movies for user id 72: [2025-12-24T22:45:19.633Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-24T22:45:19.633Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-24T22:45:19.633Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-24T22:45:19.633Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-24T22:45:19.633Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-24T22:45:19.633Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (23646.469 ms) ====== [2025-12-24T22:45:19.633Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-12-24T22:45:19.633Z] GC before operation: completed in 171.428 ms, heap usage 182.772 MB -> 88.832 MB. [2025-12-24T22:45:23.074Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:45:26.520Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:45:29.072Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:45:32.510Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:45:34.107Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:45:36.590Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:45:38.188Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:45:39.782Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:45:39.782Z] 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. [2025-12-24T22:45:39.782Z] The best model improves the baseline by 14.43%. [2025-12-24T22:45:40.558Z] Top recommended movies for user id 72: [2025-12-24T22:45:40.558Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-24T22:45:40.558Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-24T22:45:40.558Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-24T22:45:40.558Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-24T22:45:40.558Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-24T22:45:40.558Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (20565.933 ms) ====== [2025-12-24T22:45:40.558Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-12-24T22:45:40.558Z] GC before operation: completed in 169.011 ms, heap usage 2.695 GB -> 96.447 MB. [2025-12-24T22:45:43.044Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:45:46.489Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:45:48.979Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:45:52.429Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:45:54.031Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:45:55.640Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:45:57.236Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:45:58.834Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:45:58.834Z] 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. [2025-12-24T22:45:58.834Z] The best model improves the baseline by 14.43%. [2025-12-24T22:45:59.798Z] Top recommended movies for user id 72: [2025-12-24T22:45:59.798Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-24T22:45:59.798Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-24T22:45:59.798Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-24T22:45:59.798Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-24T22:45:59.798Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-24T22:45:59.798Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (18889.022 ms) ====== [2025-12-24T22:45:59.798Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-12-24T22:45:59.799Z] GC before operation: completed in 161.350 ms, heap usage 1.347 GB -> 96.284 MB. [2025-12-24T22:46:02.276Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:46:05.714Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:46:08.190Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:46:10.680Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:46:12.282Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:46:13.880Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:46:16.361Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:46:17.968Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:46:17.968Z] 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. [2025-12-24T22:46:17.968Z] The best model improves the baseline by 14.43%. [2025-12-24T22:46:17.968Z] Top recommended movies for user id 72: [2025-12-24T22:46:17.968Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-24T22:46:17.968Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-24T22:46:17.968Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-24T22:46:17.968Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-24T22:46:17.968Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-24T22:46:17.968Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (18527.642 ms) ====== [2025-12-24T22:46:17.968Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-12-24T22:46:17.968Z] GC before operation: completed in 175.345 ms, heap usage 493.783 MB -> 94.950 MB. [2025-12-24T22:46:21.402Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:46:23.889Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:46:27.325Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:46:29.806Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:46:32.300Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:46:33.906Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:46:35.499Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:46:37.094Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:46:37.867Z] 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. [2025-12-24T22:46:37.867Z] The best model improves the baseline by 14.43%. [2025-12-24T22:46:37.867Z] Top recommended movies for user id 72: [2025-12-24T22:46:37.867Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-24T22:46:37.867Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-24T22:46:37.867Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-24T22:46:37.867Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-24T22:46:37.867Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-24T22:46:37.867Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (19616.133 ms) ====== [2025-12-24T22:46:37.867Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-12-24T22:46:37.867Z] GC before operation: completed in 128.770 ms, heap usage 260.908 MB -> 91.492 MB. [2025-12-24T22:46:41.299Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:46:43.779Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:46:47.228Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:46:49.733Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:46:51.330Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:46:53.826Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:46:55.429Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:46:57.022Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:46:57.023Z] 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. [2025-12-24T22:46:57.023Z] The best model improves the baseline by 14.43%. [2025-12-24T22:46:57.804Z] Top recommended movies for user id 72: [2025-12-24T22:46:57.804Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-24T22:46:57.804Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-24T22:46:57.804Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-24T22:46:57.804Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-24T22:46:57.804Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-24T22:46:57.804Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (19547.423 ms) ====== [2025-12-24T22:46:57.804Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-12-24T22:46:57.804Z] GC before operation: completed in 128.670 ms, heap usage 314.094 MB -> 91.904 MB. [2025-12-24T22:47:00.294Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:47:03.740Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:47:06.224Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:47:09.657Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:47:11.260Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:47:12.859Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:47:15.355Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:47:16.951Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:47:16.952Z] 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. [2025-12-24T22:47:16.952Z] The best model improves the baseline by 14.43%. [2025-12-24T22:47:16.952Z] Top recommended movies for user id 72: [2025-12-24T22:47:16.952Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-24T22:47:16.952Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-24T22:47:16.952Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-24T22:47:16.952Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-24T22:47:16.952Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-24T22:47:16.952Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (19432.907 ms) ====== [2025-12-24T22:47:16.952Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-12-24T22:47:16.952Z] GC before operation: completed in 137.156 ms, heap usage 2.483 GB -> 98.015 MB. [2025-12-24T22:47:20.386Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:47:22.862Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:47:26.300Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:47:28.774Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:47:31.249Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:47:32.841Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:47:34.451Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:47:36.085Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:47:36.085Z] 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. [2025-12-24T22:47:36.085Z] The best model improves the baseline by 14.43%. [2025-12-24T22:47:36.085Z] Top recommended movies for user id 72: [2025-12-24T22:47:36.085Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-24T22:47:36.085Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-24T22:47:36.085Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-24T22:47:36.085Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-24T22:47:36.085Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-24T22:47:36.085Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (19173.658 ms) ====== [2025-12-24T22:47:36.085Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-12-24T22:47:36.860Z] GC before operation: completed in 164.651 ms, heap usage 2.637 GB -> 98.144 MB. [2025-12-24T22:47:39.523Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:47:41.999Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:47:45.444Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:47:47.935Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:47:49.540Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:47:51.142Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:47:52.740Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:47:54.335Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:47:55.105Z] 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. [2025-12-24T22:47:55.105Z] The best model improves the baseline by 14.43%. [2025-12-24T22:47:55.105Z] Top recommended movies for user id 72: [2025-12-24T22:47:55.105Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-24T22:47:55.105Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-24T22:47:55.105Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-24T22:47:55.105Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-24T22:47:55.105Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-24T22:47:55.105Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (18365.074 ms) ====== [2025-12-24T22:47:55.105Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-12-24T22:47:55.105Z] GC before operation: completed in 160.281 ms, heap usage 2.822 GB -> 98.506 MB. [2025-12-24T22:47:57.594Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:48:01.027Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:48:03.513Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:48:05.993Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:48:07.601Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:48:09.207Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:48:11.714Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:48:13.321Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:48:13.321Z] 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. [2025-12-24T22:48:13.321Z] The best model improves the baseline by 14.43%. [2025-12-24T22:48:13.321Z] Top recommended movies for user id 72: [2025-12-24T22:48:13.321Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-24T22:48:13.321Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-24T22:48:13.321Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-24T22:48:13.321Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-24T22:48:13.321Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-24T22:48:13.321Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (18351.177 ms) ====== [2025-12-24T22:48:13.321Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-12-24T22:48:13.321Z] GC before operation: completed in 151.777 ms, heap usage 276.461 MB -> 92.104 MB. [2025-12-24T22:48:16.757Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:48:19.234Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:48:21.728Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:48:25.153Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:48:26.751Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:48:28.344Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:48:29.941Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:48:31.555Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:48:32.327Z] 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. [2025-12-24T22:48:32.327Z] The best model improves the baseline by 14.43%. [2025-12-24T22:48:32.327Z] Top recommended movies for user id 72: [2025-12-24T22:48:32.327Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-24T22:48:32.327Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-24T22:48:32.327Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-24T22:48:32.327Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-24T22:48:32.327Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-24T22:48:32.327Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (18725.628 ms) ====== [2025-12-24T22:48:32.327Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-12-24T22:48:32.327Z] GC before operation: completed in 131.123 ms, heap usage 287.116 MB -> 91.617 MB. [2025-12-24T22:48:35.768Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:48:38.249Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:48:41.677Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:48:44.147Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:48:46.620Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:48:48.211Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:48:49.811Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:48:51.406Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:48:52.176Z] 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. [2025-12-24T22:48:52.176Z] The best model improves the baseline by 14.43%. [2025-12-24T22:48:52.176Z] Top recommended movies for user id 72: [2025-12-24T22:48:52.176Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-24T22:48:52.176Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-24T22:48:52.176Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-24T22:48:52.176Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-24T22:48:52.176Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-24T22:48:52.176Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (19495.685 ms) ====== [2025-12-24T22:48:52.176Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-12-24T22:48:52.176Z] GC before operation: completed in 126.611 ms, heap usage 148.014 MB -> 91.848 MB. [2025-12-24T22:48:54.661Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:48:58.089Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:49:01.531Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:49:04.013Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:49:05.604Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:49:08.076Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:49:09.688Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:49:11.280Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:49:12.050Z] 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. [2025-12-24T22:49:12.050Z] The best model improves the baseline by 14.43%. [2025-12-24T22:49:12.050Z] Top recommended movies for user id 72: [2025-12-24T22:49:12.050Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-24T22:49:12.050Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-24T22:49:12.050Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-24T22:49:12.050Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-24T22:49:12.050Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-24T22:49:12.050Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (19768.789 ms) ====== [2025-12-24T22:49:12.050Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-12-24T22:49:12.050Z] GC before operation: completed in 149.447 ms, heap usage 389.853 MB -> 92.279 MB. [2025-12-24T22:49:14.535Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:49:18.006Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:49:20.516Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:49:23.951Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:49:25.550Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:49:27.143Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:49:28.734Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:49:31.221Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:49:31.221Z] 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. [2025-12-24T22:49:31.221Z] The best model improves the baseline by 14.43%. [2025-12-24T22:49:31.221Z] Top recommended movies for user id 72: [2025-12-24T22:49:31.221Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-24T22:49:31.221Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-24T22:49:31.221Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-24T22:49:31.221Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-24T22:49:31.221Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-24T22:49:31.221Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (19296.356 ms) ====== [2025-12-24T22:49:31.221Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-12-24T22:49:31.221Z] GC before operation: completed in 129.717 ms, heap usage 310.552 MB -> 92.094 MB. [2025-12-24T22:49:34.719Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:49:37.198Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:49:40.635Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:49:43.118Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:49:45.607Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:49:47.208Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:49:48.804Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:49:50.395Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:49:50.395Z] 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. [2025-12-24T22:49:50.395Z] The best model improves the baseline by 14.43%. [2025-12-24T22:49:51.167Z] Top recommended movies for user id 72: [2025-12-24T22:49:51.167Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-24T22:49:51.167Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-24T22:49:51.167Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-24T22:49:51.167Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-24T22:49:51.167Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-24T22:49:51.167Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (19439.864 ms) ====== [2025-12-24T22:49:51.167Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-12-24T22:49:51.167Z] GC before operation: completed in 153.915 ms, heap usage 2.701 GB -> 98.400 MB. [2025-12-24T22:49:53.645Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:49:57.084Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:49:59.572Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:50:02.065Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:50:03.669Z] RMSE (validation) = 1.2218330581874073 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:50:06.170Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:50:07.764Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:50:09.359Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:50:10.130Z] 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. [2025-12-24T22:50:10.130Z] The best model improves the baseline by 14.43%. [2025-12-24T22:50:10.130Z] Top recommended movies for user id 72: [2025-12-24T22:50:10.130Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-24T22:50:10.130Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-24T22:50:10.130Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-24T22:50:10.130Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-24T22:50:10.130Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-24T22:50:10.130Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (18973.031 ms) ====== [2025-12-24T22:50:10.130Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-12-24T22:50:10.130Z] GC before operation: completed in 128.624 ms, heap usage 180.257 MB -> 91.795 MB. [2025-12-24T22:50:13.574Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:50:16.055Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:50:19.502Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:50:21.984Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:50:23.578Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:50:25.192Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:50:27.700Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:50:29.301Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:50:29.301Z] 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. [2025-12-24T22:50:29.301Z] The best model improves the baseline by 14.43%. [2025-12-24T22:50:29.301Z] Top recommended movies for user id 72: [2025-12-24T22:50:29.301Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-24T22:50:29.301Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-24T22:50:29.301Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-24T22:50:29.301Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-24T22:50:29.301Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-24T22:50:29.301Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (19377.353 ms) ====== [2025-12-24T22:50:29.301Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-12-24T22:50:29.301Z] GC before operation: completed in 148.216 ms, heap usage 275.442 MB -> 91.991 MB. [2025-12-24T22:50:32.731Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:50:35.206Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:50:38.687Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:50:41.174Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:50:42.883Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:50:44.482Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:50:46.966Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:50:48.572Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:50:48.572Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-12-24T22:50:48.572Z] The best model improves the baseline by 14.43%. [2025-12-24T22:50:49.345Z] Top recommended movies for user id 72: [2025-12-24T22:50:49.345Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-24T22:50:49.345Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-24T22:50:49.345Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-24T22:50:49.345Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-24T22:50:49.345Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-24T22:50:49.345Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (19375.257 ms) ====== [2025-12-24T22:50:49.345Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-12-24T22:50:49.345Z] GC before operation: completed in 140.503 ms, heap usage 182.223 MB -> 91.763 MB. [2025-12-24T22:50:51.830Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:50:54.312Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:50:57.741Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:51:00.229Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:51:01.826Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:51:03.422Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:51:05.014Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:51:07.505Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:51:07.505Z] 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. [2025-12-24T22:51:07.505Z] The best model improves the baseline by 14.43%. [2025-12-24T22:51:07.505Z] Top recommended movies for user id 72: [2025-12-24T22:51:07.505Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-24T22:51:07.505Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-24T22:51:07.505Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-24T22:51:07.505Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-24T22:51:07.505Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-24T22:51:07.505Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (18310.921 ms) ====== [2025-12-24T22:51:07.505Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-12-24T22:51:07.505Z] GC before operation: completed in 126.253 ms, heap usage 110.669 MB -> 97.431 MB. [2025-12-24T22:51:10.940Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:51:13.430Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:51:16.866Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:51:19.357Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:51:20.954Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:51:23.432Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:51:25.030Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:51:26.623Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:51:27.396Z] 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. [2025-12-24T22:51:27.396Z] The best model improves the baseline by 14.43%. [2025-12-24T22:51:27.396Z] Top recommended movies for user id 72: [2025-12-24T22:51:27.396Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-12-24T22:51:27.396Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-12-24T22:51:27.396Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-12-24T22:51:27.396Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-12-24T22:51:27.396Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-12-24T22:51:27.396Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (19663.259 ms) ====== [2025-12-24T22:51:28.228Z] ----------------------------------- [2025-12-24T22:51:28.228Z] renaissance-movie-lens_0_PASSED [2025-12-24T22:51:28.228Z] ----------------------------------- [2025-12-24T22:51:28.228Z] [2025-12-24T22:51:28.228Z] TEST TEARDOWN: [2025-12-24T22:51:28.228Z] Nothing to be done for teardown. [2025-12-24T22:51:28.228Z] renaissance-movie-lens_0 Finish Time: Wed Dec 24 22:51:27 2025 Epoch Time (ms): 1766616687479