[2025-04-08T21:44:52.678Z] Running test renaissance-movie-lens_0 ... [2025-04-08T21:44:52.678Z] =============================================== [2025-04-08T21:44:52.678Z] renaissance-movie-lens_0 Start Time: Tue Apr 8 21:44:51 2025 Epoch Time (ms): 1744148691954 [2025-04-08T21:44:52.678Z] variation: NoOptions [2025-04-08T21:44:52.678Z] JVM_OPTIONS: [2025-04-08T21:44:52.678Z] { \ [2025-04-08T21:44:52.678Z] echo ""; echo "TEST SETUP:"; \ [2025-04-08T21:44:52.678Z] echo "Nothing to be done for setup."; \ [2025-04-08T21:44:52.678Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17441471075271/renaissance-movie-lens_0"; \ [2025-04-08T21:44:52.678Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17441471075271/renaissance-movie-lens_0"; \ [2025-04-08T21:44:52.678Z] echo ""; echo "TESTING:"; \ [2025-04-08T21:44:52.678Z] "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_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_x86-64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17441471075271/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-04-08T21:44:52.678Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17441471075271/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-04-08T21:44:52.678Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-04-08T21:44:52.678Z] echo "Nothing to be done for teardown."; \ [2025-04-08T21:44:52.678Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17441471075271/TestTargetResult"; [2025-04-08T21:44:52.678Z] [2025-04-08T21:44:52.678Z] TEST SETUP: [2025-04-08T21:44:52.678Z] Nothing to be done for setup. [2025-04-08T21:44:52.678Z] [2025-04-08T21:44:52.678Z] TESTING: [2025-04-08T21:44:58.423Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-04-08T21:45:06.921Z] 21:45:05.444 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-04-08T21:45:08.565Z] Got 100004 ratings from 671 users on 9066 movies. [2025-04-08T21:45:08.565Z] Training: 60056, validation: 20285, test: 19854 [2025-04-08T21:45:08.565Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-04-08T21:45:09.366Z] GC before operation: completed in 143.955 ms, heap usage 230.648 MB -> 74.635 MB. [2025-04-08T21:45:16.452Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-08T21:45:19.991Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-08T21:45:23.529Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-08T21:45:27.072Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-08T21:45:28.718Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-08T21:45:30.370Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-08T21:45:31.988Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-08T21:45:34.491Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-08T21:45:34.491Z] 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. [2025-04-08T21:45:34.491Z] The best model improves the baseline by 14.52%. [2025-04-08T21:45:35.267Z] Top recommended movies for user id 72: [2025-04-08T21:45:35.267Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-04-08T21:45:35.267Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-04-08T21:45:35.267Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-04-08T21:45:35.267Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-04-08T21:45:35.267Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-04-08T21:45:35.267Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (25967.236 ms) ====== [2025-04-08T21:45:35.267Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-04-08T21:45:35.267Z] GC before operation: completed in 156.920 ms, heap usage 379.046 MB -> 85.725 MB. [2025-04-08T21:45:38.728Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-08T21:45:42.182Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-08T21:45:45.649Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-08T21:45:48.158Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-08T21:45:49.781Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-08T21:45:51.390Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-08T21:45:53.890Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-08T21:45:55.501Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-08T21:45:55.501Z] 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. [2025-04-08T21:45:55.501Z] The best model improves the baseline by 14.52%. [2025-04-08T21:45:55.501Z] Top recommended movies for user id 72: [2025-04-08T21:45:55.501Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-04-08T21:45:55.501Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-04-08T21:45:55.501Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-04-08T21:45:55.501Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-04-08T21:45:55.501Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-04-08T21:45:55.501Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (20765.532 ms) ====== [2025-04-08T21:45:55.501Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-04-08T21:45:56.282Z] GC before operation: completed in 180.035 ms, heap usage 186.524 MB -> 87.660 MB. [2025-04-08T21:45:58.802Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-08T21:46:02.271Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-08T21:46:04.782Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-08T21:46:07.282Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-08T21:46:08.902Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-08T21:46:10.513Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-08T21:46:13.019Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-08T21:46:13.797Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-08T21:46:14.574Z] 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. [2025-04-08T21:46:14.574Z] The best model improves the baseline by 14.52%. [2025-04-08T21:46:14.574Z] Top recommended movies for user id 72: [2025-04-08T21:46:14.574Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-04-08T21:46:14.574Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-04-08T21:46:14.574Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-04-08T21:46:14.574Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-04-08T21:46:14.574Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-04-08T21:46:14.574Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (18510.245 ms) ====== [2025-04-08T21:46:14.574Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-04-08T21:46:14.574Z] GC before operation: completed in 158.686 ms, heap usage 203.046 MB -> 88.297 MB. [2025-04-08T21:46:17.079Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-08T21:46:20.548Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-08T21:46:24.005Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-08T21:46:26.497Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-08T21:46:28.108Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-08T21:46:29.729Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-08T21:46:32.232Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-08T21:46:33.855Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-08T21:46:33.855Z] 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. [2025-04-08T21:46:33.855Z] The best model improves the baseline by 14.52%. [2025-04-08T21:46:33.855Z] Top recommended movies for user id 72: [2025-04-08T21:46:33.855Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-04-08T21:46:33.855Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-04-08T21:46:33.855Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-04-08T21:46:33.855Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-04-08T21:46:33.855Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-04-08T21:46:33.855Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (19254.229 ms) ====== [2025-04-08T21:46:33.855Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-04-08T21:46:33.855Z] GC before operation: completed in 141.217 ms, heap usage 285.211 MB -> 88.679 MB. [2025-04-08T21:46:37.327Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-08T21:46:39.831Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-08T21:46:43.296Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-08T21:46:45.796Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-08T21:46:47.416Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-08T21:46:49.035Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-08T21:46:51.542Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-08T21:46:53.161Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-08T21:46:53.161Z] 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. [2025-04-08T21:46:53.161Z] The best model improves the baseline by 14.52%. [2025-04-08T21:46:53.161Z] Top recommended movies for user id 72: [2025-04-08T21:46:53.161Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-04-08T21:46:53.161Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-04-08T21:46:53.161Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-04-08T21:46:53.161Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-04-08T21:46:53.161Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-04-08T21:46:53.161Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (19367.659 ms) ====== [2025-04-08T21:46:53.161Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-04-08T21:46:53.944Z] GC before operation: completed in 145.637 ms, heap usage 167.139 MB -> 88.497 MB. [2025-04-08T21:46:56.437Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-08T21:46:59.904Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-08T21:47:02.400Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-08T21:47:04.901Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-08T21:47:06.518Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-08T21:47:08.429Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-08T21:47:10.050Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-08T21:47:11.660Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-08T21:47:12.435Z] 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. [2025-04-08T21:47:12.435Z] The best model improves the baseline by 14.52%. [2025-04-08T21:47:12.435Z] Top recommended movies for user id 72: [2025-04-08T21:47:12.435Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-04-08T21:47:12.435Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-04-08T21:47:12.435Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-04-08T21:47:12.435Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-04-08T21:47:12.435Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-04-08T21:47:12.435Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (18604.668 ms) ====== [2025-04-08T21:47:12.435Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-04-08T21:47:12.435Z] GC before operation: completed in 149.941 ms, heap usage 164.233 MB -> 88.816 MB. [2025-04-08T21:47:14.938Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-08T21:47:18.407Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-08T21:47:20.907Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-08T21:47:23.401Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-08T21:47:25.018Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-08T21:47:26.632Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-08T21:47:28.239Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-08T21:47:29.850Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-08T21:47:30.627Z] 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. [2025-04-08T21:47:30.627Z] The best model improves the baseline by 14.52%. [2025-04-08T21:47:30.627Z] Top recommended movies for user id 72: [2025-04-08T21:47:30.627Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-04-08T21:47:30.627Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-04-08T21:47:30.627Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-04-08T21:47:30.627Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-04-08T21:47:30.627Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-04-08T21:47:30.627Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (17998.695 ms) ====== [2025-04-08T21:47:30.627Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-04-08T21:47:30.627Z] GC before operation: completed in 146.233 ms, heap usage 325.616 MB -> 88.915 MB. [2025-04-08T21:47:33.123Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-08T21:47:35.633Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-08T21:47:39.129Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-08T21:47:41.713Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-08T21:47:43.362Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-08T21:47:45.005Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-08T21:47:46.654Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-08T21:47:48.306Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-08T21:47:48.306Z] 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. [2025-04-08T21:47:48.306Z] The best model improves the baseline by 14.52%. [2025-04-08T21:47:48.306Z] Top recommended movies for user id 72: [2025-04-08T21:47:48.306Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-04-08T21:47:48.306Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-04-08T21:47:48.306Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-04-08T21:47:48.306Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-04-08T21:47:48.306Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-04-08T21:47:48.306Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (17971.818 ms) ====== [2025-04-08T21:47:48.306Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-04-08T21:47:48.306Z] GC before operation: completed in 143.208 ms, heap usage 180.784 MB -> 88.948 MB. [2025-04-08T21:47:50.909Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-08T21:47:54.447Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-08T21:47:56.998Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-08T21:47:59.553Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-08T21:48:01.198Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-08T21:48:02.838Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-08T21:48:04.487Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-08T21:48:06.138Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-08T21:48:06.138Z] 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. [2025-04-08T21:48:06.138Z] The best model improves the baseline by 14.52%. [2025-04-08T21:48:06.138Z] Top recommended movies for user id 72: [2025-04-08T21:48:06.138Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-04-08T21:48:06.138Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-04-08T21:48:06.138Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-04-08T21:48:06.138Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-04-08T21:48:06.138Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-04-08T21:48:06.138Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (17750.318 ms) ====== [2025-04-08T21:48:06.138Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-04-08T21:48:06.936Z] GC before operation: completed in 141.150 ms, heap usage 314.215 MB -> 89.027 MB. [2025-04-08T21:48:09.487Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-08T21:48:12.043Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-08T21:48:14.600Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-08T21:48:17.159Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-08T21:48:18.811Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-08T21:48:20.457Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-08T21:48:22.112Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-08T21:48:22.910Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-08T21:48:23.704Z] 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. [2025-04-08T21:48:23.704Z] The best model improves the baseline by 14.52%. [2025-04-08T21:48:23.704Z] Top recommended movies for user id 72: [2025-04-08T21:48:23.704Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-04-08T21:48:23.704Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-04-08T21:48:23.704Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-04-08T21:48:23.704Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-04-08T21:48:23.704Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-04-08T21:48:23.704Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (17048.419 ms) ====== [2025-04-08T21:48:23.704Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-04-08T21:48:23.704Z] GC before operation: completed in 154.359 ms, heap usage 378.223 MB -> 89.301 MB. [2025-04-08T21:48:26.263Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-08T21:48:28.815Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-08T21:48:32.359Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-08T21:48:35.052Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-08T21:48:36.694Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-08T21:48:38.350Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-08T21:48:39.990Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-08T21:48:41.734Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-08T21:48:41.734Z] 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. [2025-04-08T21:48:41.734Z] The best model improves the baseline by 14.52%. [2025-04-08T21:48:41.734Z] Top recommended movies for user id 72: [2025-04-08T21:48:41.734Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-04-08T21:48:41.734Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-04-08T21:48:41.734Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-04-08T21:48:41.734Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-04-08T21:48:41.734Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-04-08T21:48:41.734Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (18031.651 ms) ====== [2025-04-08T21:48:41.734Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-04-08T21:48:41.734Z] GC before operation: completed in 170.656 ms, heap usage 195.858 MB -> 88.764 MB. [2025-04-08T21:48:44.299Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-08T21:48:47.842Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-08T21:48:50.400Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-08T21:48:52.956Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-08T21:48:54.602Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-08T21:48:56.242Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-08T21:48:57.890Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-08T21:48:59.533Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-08T21:48:59.533Z] 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. [2025-04-08T21:48:59.533Z] The best model improves the baseline by 14.52%. [2025-04-08T21:48:59.533Z] Top recommended movies for user id 72: [2025-04-08T21:48:59.533Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-04-08T21:48:59.533Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-04-08T21:48:59.533Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-04-08T21:48:59.533Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-04-08T21:48:59.533Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-04-08T21:48:59.533Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (17568.144 ms) ====== [2025-04-08T21:48:59.533Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-04-08T21:48:59.533Z] GC before operation: completed in 153.117 ms, heap usage 130.080 MB -> 88.868 MB. [2025-04-08T21:49:02.086Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-08T21:49:04.636Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-08T21:49:08.192Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-08T21:49:11.368Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-08T21:49:12.174Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-08T21:49:13.815Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-08T21:49:15.465Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-08T21:49:17.125Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-08T21:49:17.125Z] 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. [2025-04-08T21:49:17.125Z] The best model improves the baseline by 14.52%. [2025-04-08T21:49:17.125Z] Top recommended movies for user id 72: [2025-04-08T21:49:17.125Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-04-08T21:49:17.125Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-04-08T21:49:17.125Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-04-08T21:49:17.125Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-04-08T21:49:17.125Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-04-08T21:49:17.125Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (17808.923 ms) ====== [2025-04-08T21:49:17.125Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-04-08T21:49:17.922Z] GC before operation: completed in 142.788 ms, heap usage 220.788 MB -> 89.122 MB. [2025-04-08T21:49:20.481Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-08T21:49:23.040Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-08T21:49:25.875Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-08T21:49:28.432Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-08T21:49:30.076Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-08T21:49:31.724Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-08T21:49:33.370Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-08T21:49:35.016Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-08T21:49:35.016Z] 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. [2025-04-08T21:49:35.016Z] The best model improves the baseline by 14.52%. [2025-04-08T21:49:35.813Z] Top recommended movies for user id 72: [2025-04-08T21:49:35.813Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-04-08T21:49:35.813Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-04-08T21:49:35.813Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-04-08T21:49:35.813Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-04-08T21:49:35.813Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-04-08T21:49:35.813Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (17780.250 ms) ====== [2025-04-08T21:49:35.813Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-04-08T21:49:35.813Z] GC before operation: completed in 147.530 ms, heap usage 355.833 MB -> 89.090 MB. [2025-04-08T21:49:38.366Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-08T21:49:40.928Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-08T21:49:43.475Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-08T21:49:46.037Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-08T21:49:47.684Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-08T21:49:49.336Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-08T21:49:51.894Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-08T21:49:52.690Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-08T21:49:53.484Z] 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. [2025-04-08T21:49:53.484Z] The best model improves the baseline by 14.52%. [2025-04-08T21:49:53.484Z] Top recommended movies for user id 72: [2025-04-08T21:49:53.484Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-04-08T21:49:53.484Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-04-08T21:49:53.484Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-04-08T21:49:53.484Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-04-08T21:49:53.484Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-04-08T21:49:53.484Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (17813.238 ms) ====== [2025-04-08T21:49:53.484Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-04-08T21:49:53.484Z] GC before operation: completed in 140.874 ms, heap usage 208.011 MB -> 89.127 MB. [2025-04-08T21:49:56.042Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-08T21:49:58.590Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-08T21:50:02.124Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-08T21:50:04.673Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-08T21:50:06.321Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-08T21:50:07.972Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-08T21:50:09.614Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-08T21:50:11.273Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-08T21:50:11.273Z] 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. [2025-04-08T21:50:11.273Z] The best model improves the baseline by 14.52%. [2025-04-08T21:50:11.273Z] Top recommended movies for user id 72: [2025-04-08T21:50:11.274Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-04-08T21:50:11.274Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-04-08T21:50:11.274Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-04-08T21:50:11.274Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-04-08T21:50:11.274Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-04-08T21:50:11.274Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (17977.368 ms) ====== [2025-04-08T21:50:11.274Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-04-08T21:50:11.274Z] GC before operation: completed in 140.933 ms, heap usage 339.074 MB -> 89.116 MB. [2025-04-08T21:50:14.808Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-08T21:50:17.375Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-08T21:50:19.925Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-08T21:50:22.482Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-08T21:50:24.134Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-08T21:50:25.787Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-08T21:50:27.435Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-08T21:50:29.076Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-08T21:50:29.076Z] 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. [2025-04-08T21:50:29.076Z] The best model improves the baseline by 14.52%. [2025-04-08T21:50:29.076Z] Top recommended movies for user id 72: [2025-04-08T21:50:29.076Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-04-08T21:50:29.076Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-04-08T21:50:29.076Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-04-08T21:50:29.076Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-04-08T21:50:29.076Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-04-08T21:50:29.076Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (17473.657 ms) ====== [2025-04-08T21:50:29.076Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-04-08T21:50:29.076Z] GC before operation: completed in 145.168 ms, heap usage 313.154 MB -> 89.192 MB. [2025-04-08T21:50:31.634Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-08T21:50:34.187Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-08T21:50:37.732Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-08T21:50:40.289Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-08T21:50:41.936Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-08T21:50:44.263Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-08T21:50:45.076Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-08T21:50:46.730Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-08T21:50:46.730Z] 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. [2025-04-08T21:50:46.730Z] The best model improves the baseline by 14.52%. [2025-04-08T21:50:46.730Z] Top recommended movies for user id 72: [2025-04-08T21:50:46.730Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-04-08T21:50:46.730Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-04-08T21:50:46.730Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-04-08T21:50:46.730Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-04-08T21:50:46.730Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-04-08T21:50:46.730Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (17574.985 ms) ====== [2025-04-08T21:50:46.730Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-04-08T21:50:46.730Z] GC before operation: completed in 145.573 ms, heap usage 102.008 MB -> 88.718 MB. [2025-04-08T21:50:49.282Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-08T21:50:51.849Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-08T21:50:55.380Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-08T21:50:57.941Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-08T21:50:59.589Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-08T21:51:01.230Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-08T21:51:02.878Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-08T21:51:04.526Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-08T21:51:04.527Z] 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. [2025-04-08T21:51:04.527Z] The best model improves the baseline by 14.52%. [2025-04-08T21:51:04.527Z] Top recommended movies for user id 72: [2025-04-08T21:51:04.527Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-04-08T21:51:04.527Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-04-08T21:51:04.527Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-04-08T21:51:04.527Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-04-08T21:51:04.527Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-04-08T21:51:04.527Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (17619.198 ms) ====== [2025-04-08T21:51:04.527Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-04-08T21:51:04.527Z] GC before operation: completed in 141.724 ms, heap usage 356.984 MB -> 89.178 MB. [2025-04-08T21:51:07.091Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-08T21:51:09.652Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-08T21:51:13.189Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-08T21:51:15.750Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-08T21:51:17.396Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-08T21:51:19.049Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-08T21:51:20.700Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-08T21:51:22.341Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-08T21:51:22.341Z] 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. [2025-04-08T21:51:22.341Z] The best model improves the baseline by 14.52%. [2025-04-08T21:51:22.341Z] Top recommended movies for user id 72: [2025-04-08T21:51:22.341Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-04-08T21:51:22.341Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-04-08T21:51:22.341Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-04-08T21:51:22.341Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-04-08T21:51:22.341Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-04-08T21:51:22.341Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (17697.044 ms) ====== [2025-04-08T21:51:23.135Z] ----------------------------------- [2025-04-08T21:51:23.135Z] renaissance-movie-lens_0_PASSED [2025-04-08T21:51:23.135Z] ----------------------------------- [2025-04-08T21:51:23.135Z] [2025-04-08T21:51:23.135Z] TEST TEARDOWN: [2025-04-08T21:51:23.135Z] Nothing to be done for teardown. [2025-04-08T21:51:23.135Z] renaissance-movie-lens_0 Finish Time: Tue Apr 8 21:51:22 2025 Epoch Time (ms): 1744149082472