Test Results Summary Service

renaissance-movie-lens_0

[2025-10-16T21:34:39.584Z] Running test renaissance-movie-lens_0 ... [2025-10-16T21:34:39.584Z] =============================================== [2025-10-16T21:34:39.584Z] renaissance-movie-lens_0 Start Time: Thu Oct 16 21:34:39 2025 Epoch Time (ms): 1760650479214 [2025-10-16T21:34:39.584Z] variation: NoOptions [2025-10-16T21:34:39.584Z] JVM_OPTIONS: [2025-10-16T21:34:39.584Z] { \ [2025-10-16T21:34:39.584Z] echo ""; echo "TEST SETUP:"; \ [2025-10-16T21:34:39.584Z] echo "Nothing to be done for setup."; \ [2025-10-16T21:34:39.584Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17606488279144/renaissance-movie-lens_0"; \ [2025-10-16T21:34:39.584Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17606488279144/renaissance-movie-lens_0"; \ [2025-10-16T21:34:39.584Z] echo ""; echo "TESTING:"; \ [2025-10-16T21:34:39.584Z] "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17606488279144/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-10-16T21:34:39.584Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17606488279144/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-10-16T21:34:39.584Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-10-16T21:34:39.584Z] echo "Nothing to be done for teardown."; \ [2025-10-16T21:34:39.584Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64_aix/aqa-tests/TKG/../TKG/output_17606488279144/TestTargetResult"; [2025-10-16T21:34:39.584Z] [2025-10-16T21:34:39.584Z] TEST SETUP: [2025-10-16T21:34:39.584Z] Nothing to be done for setup. [2025-10-16T21:34:39.584Z] [2025-10-16T21:34:39.584Z] TESTING: [2025-10-16T21:34:48.048Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 8 (out of 24) threads. [2025-10-16T21:35:01.737Z] Got 100004 ratings from 671 users on 9066 movies. [2025-10-16T21:35:02.507Z] Training: 60056, validation: 20285, test: 19854 [2025-10-16T21:35:02.507Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-10-16T21:35:02.507Z] GC before operation: completed in 209.342 ms, heap usage 477.185 MB -> 75.369 MB. [2025-10-16T21:35:09.333Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-16T21:35:13.768Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-16T21:35:17.176Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-16T21:35:21.634Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-16T21:35:24.103Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-16T21:35:25.686Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-16T21:35:29.100Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-16T21:35:30.715Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-16T21:35:31.492Z] 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. [2025-10-16T21:35:31.492Z] The best model improves the baseline by 14.43%. [2025-10-16T21:35:31.492Z] Top recommended movies for user id 72: [2025-10-16T21:35:31.492Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-10-16T21:35:31.492Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-10-16T21:35:31.492Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-10-16T21:35:31.492Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-10-16T21:35:31.492Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-10-16T21:35:31.492Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (29343.747 ms) ====== [2025-10-16T21:35:31.492Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-10-16T21:35:32.258Z] GC before operation: completed in 223.280 ms, heap usage 311.228 MB -> 91.057 MB. [2025-10-16T21:35:35.655Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-16T21:35:40.133Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-16T21:35:43.554Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-16T21:35:46.968Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-16T21:35:49.424Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-16T21:35:51.894Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-16T21:35:54.356Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-16T21:35:56.822Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-16T21:35:56.822Z] 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. [2025-10-16T21:35:56.822Z] The best model improves the baseline by 14.43%. [2025-10-16T21:35:57.586Z] Top recommended movies for user id 72: [2025-10-16T21:35:57.586Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-10-16T21:35:57.586Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-10-16T21:35:57.586Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-10-16T21:35:57.586Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-10-16T21:35:57.586Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-10-16T21:35:57.586Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (25324.718 ms) ====== [2025-10-16T21:35:57.586Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-10-16T21:35:57.586Z] GC before operation: completed in 199.892 ms, heap usage 446.990 MB -> 90.829 MB. [2025-10-16T21:36:00.993Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-16T21:36:06.249Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-16T21:36:08.859Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-16T21:36:12.268Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-16T21:36:14.728Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-16T21:36:16.308Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-16T21:36:18.764Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-16T21:36:21.229Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-16T21:36:21.229Z] 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. [2025-10-16T21:36:21.229Z] The best model improves the baseline by 14.43%. [2025-10-16T21:36:21.993Z] Top recommended movies for user id 72: [2025-10-16T21:36:21.993Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-10-16T21:36:21.993Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-10-16T21:36:21.993Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-10-16T21:36:21.993Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-10-16T21:36:21.993Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-10-16T21:36:21.993Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (24291.276 ms) ====== [2025-10-16T21:36:21.993Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-10-16T21:36:21.993Z] GC before operation: completed in 236.075 ms, heap usage 493.277 MB -> 91.709 MB. [2025-10-16T21:36:25.393Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-16T21:36:28.820Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-16T21:36:33.264Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-16T21:36:36.668Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-16T21:36:38.244Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-16T21:36:40.708Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-16T21:36:43.175Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-16T21:36:45.640Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-16T21:36:45.640Z] 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. [2025-10-16T21:36:45.640Z] The best model improves the baseline by 14.43%. [2025-10-16T21:36:45.640Z] Top recommended movies for user id 72: [2025-10-16T21:36:45.640Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-10-16T21:36:45.640Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-10-16T21:36:45.640Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-10-16T21:36:45.640Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-10-16T21:36:45.640Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-10-16T21:36:45.640Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (23868.452 ms) ====== [2025-10-16T21:36:45.640Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-10-16T21:36:46.406Z] GC before operation: completed in 241.125 ms, heap usage 628.561 MB -> 92.090 MB. [2025-10-16T21:36:49.818Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-16T21:36:53.239Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-16T21:36:56.640Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-16T21:37:00.037Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-16T21:37:02.486Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-16T21:37:04.959Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-16T21:37:07.415Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-16T21:37:08.995Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-16T21:37:09.760Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-10-16T21:37:09.760Z] The best model improves the baseline by 14.43%. [2025-10-16T21:37:09.760Z] Top recommended movies for user id 72: [2025-10-16T21:37:09.760Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-10-16T21:37:09.760Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-10-16T21:37:09.760Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-10-16T21:37:09.760Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-10-16T21:37:09.760Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-10-16T21:37:09.760Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (23569.075 ms) ====== [2025-10-16T21:37:09.760Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-10-16T21:37:09.760Z] GC before operation: completed in 243.903 ms, heap usage 522.362 MB -> 91.941 MB. [2025-10-16T21:37:13.348Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-16T21:37:16.772Z] RMSE (validation) = 2.1340923217118064 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-16T21:37:21.209Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-16T21:37:24.612Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-16T21:37:26.192Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-16T21:37:28.663Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-16T21:37:31.125Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-16T21:37:32.714Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-16T21:37:33.481Z] 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. [2025-10-16T21:37:33.481Z] The best model improves the baseline by 14.43%. [2025-10-16T21:37:33.481Z] Top recommended movies for user id 72: [2025-10-16T21:37:33.481Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-10-16T21:37:33.481Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-10-16T21:37:33.481Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-10-16T21:37:33.481Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-10-16T21:37:33.481Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-10-16T21:37:33.481Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (23740.435 ms) ====== [2025-10-16T21:37:33.481Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-10-16T21:37:34.246Z] GC before operation: completed in 227.648 ms, heap usage 697.006 MB -> 92.477 MB. [2025-10-16T21:37:37.665Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-16T21:37:41.086Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-16T21:37:44.500Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-16T21:37:47.905Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-16T21:37:50.370Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-16T21:37:52.832Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-16T21:37:54.411Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-16T21:37:56.871Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-16T21:37:56.871Z] 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. [2025-10-16T21:37:56.871Z] The best model improves the baseline by 14.43%. [2025-10-16T21:37:57.637Z] Top recommended movies for user id 72: [2025-10-16T21:37:57.637Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-10-16T21:37:57.637Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-10-16T21:37:57.637Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-10-16T21:37:57.637Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-10-16T21:37:57.637Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-10-16T21:37:57.637Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (23571.903 ms) ====== [2025-10-16T21:37:57.637Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-10-16T21:37:57.637Z] GC before operation: completed in 240.211 ms, heap usage 368.328 MB -> 92.120 MB. [2025-10-16T21:38:01.046Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-16T21:38:04.449Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-16T21:38:08.900Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-16T21:38:11.420Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-16T21:38:13.895Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-16T21:38:16.355Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-16T21:38:17.950Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-16T21:38:20.418Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-16T21:38:20.418Z] 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. [2025-10-16T21:38:20.418Z] The best model improves the baseline by 14.43%. [2025-10-16T21:38:21.183Z] Top recommended movies for user id 72: [2025-10-16T21:38:21.183Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-10-16T21:38:21.184Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-10-16T21:38:21.184Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-10-16T21:38:21.184Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-10-16T21:38:21.184Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-10-16T21:38:21.184Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (23298.958 ms) ====== [2025-10-16T21:38:21.184Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-10-16T21:38:21.184Z] GC before operation: completed in 230.458 ms, heap usage 574.760 MB -> 92.387 MB. [2025-10-16T21:38:24.595Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-16T21:38:28.024Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-16T21:38:32.462Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-16T21:38:35.894Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-16T21:38:37.471Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-16T21:38:39.939Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-16T21:38:42.401Z] RMSE (validation) = 0.9275717391338142 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-16T21:38:43.986Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-16T21:38:44.751Z] 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. [2025-10-16T21:38:44.751Z] The best model improves the baseline by 14.43%. [2025-10-16T21:38:44.751Z] Top recommended movies for user id 72: [2025-10-16T21:38:44.751Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-10-16T21:38:44.751Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-10-16T21:38:44.751Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-10-16T21:38:44.751Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-10-16T21:38:44.751Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-10-16T21:38:44.751Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (23591.761 ms) ====== [2025-10-16T21:38:44.751Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-10-16T21:38:44.751Z] GC before operation: completed in 227.897 ms, heap usage 488.433 MB -> 92.258 MB. [2025-10-16T21:38:49.192Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-16T21:38:52.614Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-16T21:38:56.016Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-16T21:38:59.416Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-16T21:39:01.872Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-16T21:39:03.461Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-16T21:39:05.926Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-16T21:39:08.380Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-16T21:39:08.380Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9073522634082535. [2025-10-16T21:39:08.380Z] The best model improves the baseline by 14.43%. [2025-10-16T21:39:09.150Z] Top recommended movies for user id 72: [2025-10-16T21:39:09.150Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-10-16T21:39:09.150Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-10-16T21:39:09.150Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-10-16T21:39:09.150Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-10-16T21:39:09.150Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-10-16T21:39:09.150Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (23737.466 ms) ====== [2025-10-16T21:39:09.150Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-10-16T21:39:09.150Z] GC before operation: completed in 216.939 ms, heap usage 426.664 MB -> 92.409 MB. [2025-10-16T21:39:12.549Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-16T21:39:15.968Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-16T21:39:20.413Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-16T21:39:22.875Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-16T21:39:25.480Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-16T21:39:27.068Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-16T21:39:29.527Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-16T21:39:32.004Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-16T21:39:32.004Z] 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. [2025-10-16T21:39:32.004Z] The best model improves the baseline by 14.43%. [2025-10-16T21:39:32.004Z] Top recommended movies for user id 72: [2025-10-16T21:39:32.004Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-10-16T21:39:32.004Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-10-16T21:39:32.004Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-10-16T21:39:32.004Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-10-16T21:39:32.004Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-10-16T21:39:32.004Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (23358.298 ms) ====== [2025-10-16T21:39:32.004Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-10-16T21:39:32.770Z] GC before operation: completed in 214.952 ms, heap usage 485.836 MB -> 92.154 MB. [2025-10-16T21:39:36.172Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-16T21:39:39.583Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-16T21:39:42.987Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-16T21:39:46.393Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-16T21:39:48.848Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-16T21:39:51.307Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-16T21:39:53.779Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-16T21:39:55.365Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-16T21:39:56.135Z] 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. [2025-10-16T21:39:56.135Z] The best model improves the baseline by 14.43%. [2025-10-16T21:39:56.135Z] Top recommended movies for user id 72: [2025-10-16T21:39:56.135Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-10-16T21:39:56.135Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-10-16T21:39:56.135Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-10-16T21:39:56.135Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-10-16T21:39:56.135Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-10-16T21:39:56.135Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (23492.135 ms) ====== [2025-10-16T21:39:56.135Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-10-16T21:39:56.135Z] GC before operation: completed in 229.828 ms, heap usage 891.592 MB -> 96.026 MB. [2025-10-16T21:39:59.539Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-16T21:40:03.991Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-16T21:40:07.390Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-16T21:40:10.841Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-16T21:40:12.426Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-16T21:40:14.881Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-16T21:40:17.340Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-16T21:40:18.918Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-16T21:40:19.683Z] 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. [2025-10-16T21:40:19.683Z] The best model improves the baseline by 14.43%. [2025-10-16T21:40:19.683Z] Top recommended movies for user id 72: [2025-10-16T21:40:19.683Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-10-16T21:40:19.683Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-10-16T21:40:19.683Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-10-16T21:40:19.683Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-10-16T21:40:19.683Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-10-16T21:40:19.683Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (23361.853 ms) ====== [2025-10-16T21:40:19.683Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-10-16T21:40:19.683Z] GC before operation: completed in 200.128 ms, heap usage 595.643 MB -> 92.630 MB. [2025-10-16T21:40:23.091Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-16T21:40:27.524Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-16T21:40:30.935Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-16T21:40:34.327Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-16T21:40:35.904Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-16T21:40:38.367Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-16T21:40:40.825Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-16T21:40:42.409Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-16T21:40:43.175Z] 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. [2025-10-16T21:40:43.175Z] The best model improves the baseline by 14.43%. [2025-10-16T21:40:43.175Z] Top recommended movies for user id 72: [2025-10-16T21:40:43.175Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-10-16T21:40:43.175Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-10-16T21:40:43.175Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-10-16T21:40:43.175Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-10-16T21:40:43.175Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-10-16T21:40:43.175Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (23350.199 ms) ====== [2025-10-16T21:40:43.175Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-10-16T21:40:43.175Z] GC before operation: completed in 256.773 ms, heap usage 419.010 MB -> 92.219 MB. [2025-10-16T21:40:47.620Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-16T21:40:51.026Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-16T21:40:54.443Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-16T21:40:57.869Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-16T21:40:59.448Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-16T21:41:01.901Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-16T21:41:04.355Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-16T21:41:06.030Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-16T21:41:06.796Z] 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. [2025-10-16T21:41:06.796Z] The best model improves the baseline by 14.43%. [2025-10-16T21:41:06.796Z] Top recommended movies for user id 72: [2025-10-16T21:41:06.796Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-10-16T21:41:06.796Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-10-16T21:41:06.796Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-10-16T21:41:06.796Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-10-16T21:41:06.796Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-10-16T21:41:06.796Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (23478.257 ms) ====== [2025-10-16T21:41:06.796Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-10-16T21:41:07.562Z] GC before operation: completed in 254.035 ms, heap usage 207.736 MB -> 92.339 MB. [2025-10-16T21:41:10.978Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-16T21:41:14.397Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-16T21:41:17.797Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-16T21:41:21.208Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-16T21:41:23.676Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-16T21:41:26.155Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-16T21:41:27.747Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-16T21:41:30.233Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-16T21:41:30.233Z] 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. [2025-10-16T21:41:30.233Z] The best model improves the baseline by 14.43%. [2025-10-16T21:41:30.233Z] Top recommended movies for user id 72: [2025-10-16T21:41:30.233Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-10-16T21:41:30.233Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-10-16T21:41:30.233Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-10-16T21:41:30.233Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-10-16T21:41:30.233Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-10-16T21:41:30.233Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (23386.091 ms) ====== [2025-10-16T21:41:30.233Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-10-16T21:41:31.121Z] GC before operation: completed in 258.760 ms, heap usage 743.591 MB -> 95.920 MB. [2025-10-16T21:41:34.526Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-16T21:41:37.985Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-16T21:41:41.388Z] RMSE (validation) = 1.3105189674610935 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-16T21:41:44.788Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-16T21:41:47.243Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-16T21:41:49.706Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-16T21:41:52.157Z] RMSE (validation) = 0.927571739133814 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-16T21:41:53.743Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-16T21:41:54.507Z] 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. [2025-10-16T21:41:54.507Z] The best model improves the baseline by 14.43%. [2025-10-16T21:41:54.507Z] Top recommended movies for user id 72: [2025-10-16T21:41:54.507Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-10-16T21:41:54.507Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-10-16T21:41:54.507Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-10-16T21:41:54.507Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-10-16T21:41:54.507Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-10-16T21:41:54.507Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (23686.501 ms) ====== [2025-10-16T21:41:54.507Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-10-16T21:41:54.507Z] GC before operation: completed in 207.049 ms, heap usage 311.585 MB -> 92.266 MB. [2025-10-16T21:41:58.954Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-16T21:42:01.423Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-16T21:42:05.864Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-16T21:42:09.271Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-16T21:42:10.904Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-16T21:42:12.674Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-16T21:42:15.162Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-16T21:42:17.631Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-16T21:42:17.631Z] 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. [2025-10-16T21:42:17.631Z] The best model improves the baseline by 14.43%. [2025-10-16T21:42:18.399Z] Top recommended movies for user id 72: [2025-10-16T21:42:18.399Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-10-16T21:42:18.399Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-10-16T21:42:18.399Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-10-16T21:42:18.399Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-10-16T21:42:18.399Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-10-16T21:42:18.399Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (23350.424 ms) ====== [2025-10-16T21:42:18.399Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-10-16T21:42:18.399Z] GC before operation: completed in 219.735 ms, heap usage 661.912 MB -> 92.516 MB. [2025-10-16T21:42:21.798Z] RMSE (validation) = 3.621968954548751 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-16T21:42:25.204Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-16T21:42:28.627Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-16T21:42:32.027Z] RMSE (validation) = 1.004540774800519 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-16T21:42:34.493Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-16T21:42:36.958Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-16T21:42:38.550Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-16T21:42:41.013Z] RMSE (validation) = 0.9001440981626694 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-16T21:42:41.013Z] 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. [2025-10-16T21:42:41.013Z] The best model improves the baseline by 14.43%. [2025-10-16T21:42:41.855Z] Top recommended movies for user id 72: [2025-10-16T21:42:41.855Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-10-16T21:42:41.855Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-10-16T21:42:41.855Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-10-16T21:42:41.855Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-10-16T21:42:41.855Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-10-16T21:42:41.855Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (23122.642 ms) ====== [2025-10-16T21:42:41.855Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-10-16T21:42:41.855Z] GC before operation: completed in 217.681 ms, heap usage 305.819 MB -> 92.211 MB. [2025-10-16T21:42:45.264Z] RMSE (validation) = 3.6219689545487506 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-10-16T21:42:48.671Z] RMSE (validation) = 2.134092321711807 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-10-16T21:42:52.090Z] RMSE (validation) = 1.3105189674610933 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-10-16T21:42:55.497Z] RMSE (validation) = 1.0045407748005193 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-10-16T21:42:57.953Z] RMSE (validation) = 1.2218330581874075 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-10-16T21:42:59.535Z] RMSE (validation) = 1.1174953766371012 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-10-16T21:43:01.992Z] RMSE (validation) = 0.9275717391338141 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-10-16T21:43:04.454Z] RMSE (validation) = 0.9001440981626695 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-10-16T21:43:04.454Z] 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. [2025-10-16T21:43:04.454Z] The best model improves the baseline by 14.43%. [2025-10-16T21:43:04.454Z] Top recommended movies for user id 72: [2025-10-16T21:43:04.454Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.674, id: 67504) [2025-10-16T21:43:04.454Z] 2: Goat, The (1921) (rating: 4.674, id: 83318) [2025-10-16T21:43:04.454Z] 3: Play House, The (1921) (rating: 4.674, id: 83359) [2025-10-16T21:43:04.454Z] 4: Cops (1922) (rating: 4.674, id: 83411) [2025-10-16T21:43:04.454Z] 5: Dear Frankie (2004) (rating: 4.256, id: 8530) [2025-10-16T21:43:04.454Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (23127.742 ms) ====== [2025-10-16T21:43:05.387Z] ----------------------------------- [2025-10-16T21:43:05.387Z] renaissance-movie-lens_0_PASSED [2025-10-16T21:43:05.387Z] ----------------------------------- [2025-10-16T21:43:05.387Z] [2025-10-16T21:43:05.387Z] TEST TEARDOWN: [2025-10-16T21:43:05.387Z] Nothing to be done for teardown. [2025-10-16T21:43:05.387Z] renaissance-movie-lens_0 Finish Time: Thu Oct 16 21:43:04 2025 Epoch Time (ms): 1760650984986