[2025-06-12T00:12:42.647Z] Running test renaissance-movie-lens_0 ... [2025-06-12T00:12:42.647Z] =============================================== [2025-06-12T00:12:42.647Z] renaissance-movie-lens_0 Start Time: Thu Jun 12 00:12:41 2025 Epoch Time (ms): 1749687161873 [2025-06-12T00:12:42.647Z] variation: NoOptions [2025-06-12T00:12:42.647Z] JVM_OPTIONS: [2025-06-12T00:12:42.647Z] { \ [2025-06-12T00:12:42.647Z] echo ""; echo "TEST SETUP:"; \ [2025-06-12T00:12:42.647Z] echo "Nothing to be done for setup."; \ [2025-06-12T00:12:42.647Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17496857263863/renaissance-movie-lens_0"; \ [2025-06-12T00:12:42.647Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17496857263863/renaissance-movie-lens_0"; \ [2025-06-12T00:12:42.647Z] echo ""; echo "TESTING:"; \ [2025-06-12T00:12:42.647Z] "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/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_ppc64le_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17496857263863/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-06-12T00:12:42.647Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17496857263863/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-06-12T00:12:42.647Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-06-12T00:12:42.647Z] echo "Nothing to be done for teardown."; \ [2025-06-12T00:12:42.647Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17496857263863/TestTargetResult"; [2025-06-12T00:12:42.647Z] [2025-06-12T00:12:42.647Z] TEST SETUP: [2025-06-12T00:12:42.647Z] Nothing to be done for setup. [2025-06-12T00:12:42.647Z] [2025-06-12T00:12:42.647Z] TESTING: [2025-06-12T00:12:49.358Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-06-12T00:12:57.504Z] 00:12:56.010 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-06-12T00:12:58.455Z] Got 100004 ratings from 671 users on 9066 movies. [2025-06-12T00:12:59.407Z] Training: 60056, validation: 20285, test: 19854 [2025-06-12T00:12:59.407Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-06-12T00:12:59.407Z] GC before operation: completed in 164.814 ms, heap usage 279.914 MB -> 74.428 MB. [2025-06-12T00:13:06.248Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T00:13:09.261Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T00:13:13.410Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T00:13:16.429Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T00:13:18.381Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T00:13:20.346Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T00:13:22.324Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T00:13:24.276Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T00:13:25.227Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-12T00:13:25.227Z] The best model improves the baseline by 14.52%. [2025-06-12T00:13:25.227Z] Top recommended movies for user id 72: [2025-06-12T00:13:25.227Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-12T00:13:25.227Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-12T00:13:25.227Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-12T00:13:25.227Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-12T00:13:25.227Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-12T00:13:25.227Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (25641.136 ms) ====== [2025-06-12T00:13:25.227Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-06-12T00:13:25.227Z] GC before operation: completed in 181.645 ms, heap usage 166.573 MB -> 86.565 MB. [2025-06-12T00:13:28.272Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T00:13:32.446Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T00:13:35.458Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T00:13:38.143Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T00:13:42.052Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T00:13:43.004Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T00:13:44.966Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T00:13:46.935Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T00:13:46.935Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-12T00:13:46.935Z] The best model improves the baseline by 14.52%. [2025-06-12T00:13:46.935Z] Top recommended movies for user id 72: [2025-06-12T00:13:46.935Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-12T00:13:46.935Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-12T00:13:46.935Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-12T00:13:46.935Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-12T00:13:46.935Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-12T00:13:46.935Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (21767.526 ms) ====== [2025-06-12T00:13:46.935Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-06-12T00:13:46.935Z] GC before operation: completed in 166.514 ms, heap usage 209.703 MB -> 87.475 MB. [2025-06-12T00:13:50.138Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T00:13:53.153Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T00:13:57.303Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T00:13:59.255Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T00:14:01.210Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T00:14:03.175Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T00:14:05.136Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T00:14:07.250Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T00:14:07.250Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-12T00:14:07.250Z] The best model improves the baseline by 14.52%. [2025-06-12T00:14:07.250Z] Top recommended movies for user id 72: [2025-06-12T00:14:07.250Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-12T00:14:07.250Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-12T00:14:07.250Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-12T00:14:07.250Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-12T00:14:07.250Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-12T00:14:07.250Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (20336.299 ms) ====== [2025-06-12T00:14:07.250Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-06-12T00:14:08.199Z] GC before operation: completed in 191.958 ms, heap usage 495.123 MB -> 88.480 MB. [2025-06-12T00:14:11.215Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T00:14:14.240Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T00:14:17.262Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T00:14:20.284Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T00:14:22.236Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T00:14:24.189Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T00:14:26.587Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T00:14:28.549Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T00:14:28.549Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-12T00:14:28.549Z] The best model improves the baseline by 14.52%. [2025-06-12T00:14:28.549Z] Top recommended movies for user id 72: [2025-06-12T00:14:28.549Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-12T00:14:28.549Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-12T00:14:28.549Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-12T00:14:28.549Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-12T00:14:28.549Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-12T00:14:28.549Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (20762.982 ms) ====== [2025-06-12T00:14:28.549Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-06-12T00:14:28.549Z] GC before operation: completed in 175.081 ms, heap usage 439.041 MB -> 88.603 MB. [2025-06-12T00:14:31.572Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T00:14:34.598Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T00:14:37.611Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T00:14:40.624Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T00:14:42.577Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T00:14:45.695Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T00:14:46.654Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T00:14:48.625Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T00:14:49.577Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-12T00:14:49.577Z] The best model improves the baseline by 14.52%. [2025-06-12T00:14:49.577Z] Top recommended movies for user id 72: [2025-06-12T00:14:49.577Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-12T00:14:49.577Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-12T00:14:49.577Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-12T00:14:49.577Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-12T00:14:49.577Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-12T00:14:49.577Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (20867.866 ms) ====== [2025-06-12T00:14:49.577Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-06-12T00:14:49.577Z] GC before operation: completed in 188.239 ms, heap usage 140.909 MB -> 88.192 MB. [2025-06-12T00:14:52.591Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T00:14:55.610Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T00:14:59.762Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T00:15:02.779Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T00:15:04.730Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T00:15:06.699Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T00:15:08.657Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T00:15:10.613Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T00:15:10.613Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-12T00:15:10.613Z] The best model improves the baseline by 14.52%. [2025-06-12T00:15:10.614Z] Top recommended movies for user id 72: [2025-06-12T00:15:10.614Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-12T00:15:10.614Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-12T00:15:10.614Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-12T00:15:10.614Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-12T00:15:10.614Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-12T00:15:10.614Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (20871.082 ms) ====== [2025-06-12T00:15:10.614Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-06-12T00:15:10.614Z] GC before operation: completed in 219.054 ms, heap usage 423.796 MB -> 88.879 MB. [2025-06-12T00:15:13.633Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T00:15:16.648Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T00:15:19.665Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T00:15:22.686Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T00:15:25.352Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T00:15:27.307Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T00:15:29.268Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T00:15:31.224Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T00:15:31.224Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-12T00:15:31.224Z] The best model improves the baseline by 14.52%. [2025-06-12T00:15:31.224Z] Top recommended movies for user id 72: [2025-06-12T00:15:31.224Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-12T00:15:31.224Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-12T00:15:31.224Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-12T00:15:31.224Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-12T00:15:31.224Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-12T00:15:31.224Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (20462.501 ms) ====== [2025-06-12T00:15:31.224Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-06-12T00:15:31.224Z] GC before operation: completed in 210.921 ms, heap usage 397.249 MB -> 88.799 MB. [2025-06-12T00:15:34.253Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T00:15:37.271Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T00:15:40.288Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T00:15:43.305Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T00:15:45.261Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T00:15:47.215Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T00:15:49.170Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T00:15:51.127Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T00:15:51.127Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-12T00:15:51.127Z] The best model improves the baseline by 14.52%. [2025-06-12T00:15:51.127Z] Top recommended movies for user id 72: [2025-06-12T00:15:51.127Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-12T00:15:51.127Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-12T00:15:51.127Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-12T00:15:51.127Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-12T00:15:51.127Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-12T00:15:51.127Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (19565.107 ms) ====== [2025-06-12T00:15:51.127Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-06-12T00:15:51.127Z] GC before operation: completed in 171.116 ms, heap usage 488.571 MB -> 89.109 MB. [2025-06-12T00:15:54.149Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T00:15:57.165Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T00:16:00.180Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T00:16:03.194Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T00:16:05.148Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T00:16:07.257Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T00:16:09.237Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T00:16:11.202Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T00:16:11.202Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-12T00:16:11.202Z] The best model improves the baseline by 14.52%. [2025-06-12T00:16:11.202Z] Top recommended movies for user id 72: [2025-06-12T00:16:11.202Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-12T00:16:11.202Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-12T00:16:11.202Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-12T00:16:11.202Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-12T00:16:11.202Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-12T00:16:11.202Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (20338.083 ms) ====== [2025-06-12T00:16:11.202Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-06-12T00:16:12.153Z] GC before operation: completed in 196.609 ms, heap usage 211.174 MB -> 88.628 MB. [2025-06-12T00:16:15.168Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T00:16:17.839Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T00:16:20.852Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T00:16:23.865Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T00:16:25.818Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T00:16:27.771Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T00:16:29.724Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T00:16:30.675Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T00:16:31.630Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-12T00:16:31.630Z] The best model improves the baseline by 14.52%. [2025-06-12T00:16:31.630Z] Top recommended movies for user id 72: [2025-06-12T00:16:31.630Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-12T00:16:31.630Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-12T00:16:31.630Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-12T00:16:31.630Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-12T00:16:31.630Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-12T00:16:31.630Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (19893.728 ms) ====== [2025-06-12T00:16:31.630Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-06-12T00:16:31.630Z] GC before operation: completed in 182.951 ms, heap usage 179.022 MB -> 88.823 MB. [2025-06-12T00:16:34.648Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T00:16:37.660Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T00:16:40.676Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T00:16:43.690Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T00:16:45.643Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T00:16:47.597Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T00:16:49.565Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T00:16:51.518Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T00:16:52.474Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-12T00:16:52.474Z] The best model improves the baseline by 14.52%. [2025-06-12T00:16:52.474Z] Top recommended movies for user id 72: [2025-06-12T00:16:52.474Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-12T00:16:52.474Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-12T00:16:52.474Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-12T00:16:52.474Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-12T00:16:52.474Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-12T00:16:52.474Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (20328.329 ms) ====== [2025-06-12T00:16:52.474Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-06-12T00:16:52.474Z] GC before operation: completed in 205.695 ms, heap usage 426.281 MB -> 88.806 MB. [2025-06-12T00:16:55.489Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T00:16:58.562Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T00:17:01.598Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T00:17:04.624Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T00:17:06.588Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T00:17:08.541Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T00:17:09.492Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T00:17:11.446Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T00:17:12.402Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-12T00:17:12.402Z] The best model improves the baseline by 14.52%. [2025-06-12T00:17:12.402Z] Top recommended movies for user id 72: [2025-06-12T00:17:12.402Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-12T00:17:12.402Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-12T00:17:12.402Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-12T00:17:12.402Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-12T00:17:12.402Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-12T00:17:12.402Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (19811.142 ms) ====== [2025-06-12T00:17:12.402Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-06-12T00:17:12.402Z] GC before operation: completed in 163.368 ms, heap usage 403.665 MB -> 89.028 MB. [2025-06-12T00:17:15.062Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T00:17:18.075Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T00:17:21.100Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T00:17:24.118Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T00:17:26.072Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T00:17:27.024Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T00:17:28.977Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T00:17:30.928Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T00:17:31.878Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-12T00:17:31.878Z] The best model improves the baseline by 14.52%. [2025-06-12T00:17:31.878Z] Top recommended movies for user id 72: [2025-06-12T00:17:31.878Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-12T00:17:31.878Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-12T00:17:31.878Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-12T00:17:31.878Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-12T00:17:31.878Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-12T00:17:31.878Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (19248.334 ms) ====== [2025-06-12T00:17:31.878Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-06-12T00:17:31.878Z] GC before operation: completed in 168.034 ms, heap usage 333.473 MB -> 89.034 MB. [2025-06-12T00:17:34.905Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T00:17:37.918Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T00:17:40.956Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T00:17:43.975Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T00:17:45.934Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T00:17:46.886Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T00:17:48.845Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T00:17:50.798Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T00:17:50.798Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-12T00:17:50.798Z] The best model improves the baseline by 14.52%. [2025-06-12T00:17:50.798Z] Top recommended movies for user id 72: [2025-06-12T00:17:50.798Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-12T00:17:50.798Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-12T00:17:50.798Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-12T00:17:50.798Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-12T00:17:50.798Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-12T00:17:50.798Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (19416.438 ms) ====== [2025-06-12T00:17:50.798Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-06-12T00:17:51.750Z] GC before operation: completed in 159.427 ms, heap usage 164.572 MB -> 88.694 MB. [2025-06-12T00:17:54.764Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T00:17:57.781Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T00:17:59.734Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T00:18:02.748Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T00:18:04.701Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T00:18:07.190Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T00:18:08.191Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T00:18:10.145Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T00:18:10.145Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-12T00:18:10.145Z] The best model improves the baseline by 14.52%. [2025-06-12T00:18:10.145Z] Top recommended movies for user id 72: [2025-06-12T00:18:10.145Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-12T00:18:10.145Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-12T00:18:10.145Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-12T00:18:10.145Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-12T00:18:10.145Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-12T00:18:10.145Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (18886.083 ms) ====== [2025-06-12T00:18:10.145Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-06-12T00:18:10.145Z] GC before operation: completed in 189.240 ms, heap usage 531.801 MB -> 89.341 MB. [2025-06-12T00:18:13.176Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T00:18:16.216Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T00:18:19.247Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T00:18:22.273Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T00:18:24.227Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T00:18:26.189Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T00:18:28.141Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T00:18:30.101Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T00:18:30.101Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-12T00:18:30.101Z] The best model improves the baseline by 14.52%. [2025-06-12T00:18:30.101Z] Top recommended movies for user id 72: [2025-06-12T00:18:30.101Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-12T00:18:30.101Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-12T00:18:30.101Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-12T00:18:30.101Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-12T00:18:30.101Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-12T00:18:30.101Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (19652.710 ms) ====== [2025-06-12T00:18:30.101Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-06-12T00:18:30.101Z] GC before operation: completed in 156.623 ms, heap usage 473.328 MB -> 89.111 MB. [2025-06-12T00:18:33.119Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T00:18:36.179Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T00:18:39.191Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T00:18:42.208Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T00:18:44.162Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T00:18:46.118Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T00:18:47.072Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T00:18:49.210Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T00:18:49.210Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-12T00:18:49.210Z] The best model improves the baseline by 14.52%. [2025-06-12T00:18:50.161Z] Top recommended movies for user id 72: [2025-06-12T00:18:50.161Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-12T00:18:50.161Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-12T00:18:50.161Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-12T00:18:50.161Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-12T00:18:50.161Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-12T00:18:50.161Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (19382.515 ms) ====== [2025-06-12T00:18:50.161Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-06-12T00:18:50.161Z] GC before operation: completed in 167.935 ms, heap usage 218.102 MB -> 88.853 MB. [2025-06-12T00:18:52.124Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T00:18:55.141Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T00:18:58.163Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T00:19:01.212Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T00:19:02.164Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T00:19:04.127Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T00:19:05.799Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T00:19:07.751Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T00:19:07.751Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-12T00:19:07.751Z] The best model improves the baseline by 14.52%. [2025-06-12T00:19:07.751Z] Top recommended movies for user id 72: [2025-06-12T00:19:07.751Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-12T00:19:07.751Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-12T00:19:07.751Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-12T00:19:07.751Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-12T00:19:07.751Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-12T00:19:07.751Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (18278.900 ms) ====== [2025-06-12T00:19:07.751Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-06-12T00:19:08.702Z] GC before operation: completed in 172.815 ms, heap usage 501.683 MB -> 89.100 MB. [2025-06-12T00:19:10.670Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T00:19:13.684Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T00:19:17.850Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T00:19:19.810Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T00:19:21.760Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T00:19:23.710Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T00:19:25.678Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T00:19:27.631Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T00:19:27.631Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-12T00:19:27.631Z] The best model improves the baseline by 14.52%. [2025-06-12T00:19:27.631Z] Top recommended movies for user id 72: [2025-06-12T00:19:27.631Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-12T00:19:27.631Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-12T00:19:27.631Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-12T00:19:27.631Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-12T00:19:27.631Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-12T00:19:27.631Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (19483.203 ms) ====== [2025-06-12T00:19:27.631Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-06-12T00:19:27.631Z] GC before operation: completed in 157.814 ms, heap usage 422.431 MB -> 89.039 MB. [2025-06-12T00:19:30.652Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-12T00:19:33.667Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-12T00:19:36.687Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-12T00:19:39.703Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-12T00:19:41.658Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-12T00:19:42.609Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-12T00:19:44.579Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-12T00:19:46.531Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-12T00:19:46.532Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-12T00:19:46.532Z] The best model improves the baseline by 14.52%. [2025-06-12T00:19:47.485Z] Top recommended movies for user id 72: [2025-06-12T00:19:47.485Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-12T00:19:47.485Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-12T00:19:47.485Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-12T00:19:47.485Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-12T00:19:47.485Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-12T00:19:47.485Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (19154.361 ms) ====== [2025-06-12T00:19:47.485Z] ----------------------------------- [2025-06-12T00:19:47.485Z] renaissance-movie-lens_0_PASSED [2025-06-12T00:19:47.485Z] ----------------------------------- [2025-06-12T00:19:47.485Z] [2025-06-12T00:19:47.485Z] TEST TEARDOWN: [2025-06-12T00:19:47.485Z] Nothing to be done for teardown. [2025-06-12T00:19:47.485Z] renaissance-movie-lens_0 Finish Time: Thu Jun 12 00:19:47 2025 Epoch Time (ms): 1749687587165