[2025-04-15T22:40:24.510Z] Running test renaissance-movie-lens_0 ... [2025-04-15T22:40:24.510Z] =============================================== [2025-04-15T22:40:24.510Z] renaissance-movie-lens_0 Start Time: Tue Apr 15 22:40:23 2025 Epoch Time (ms): 1744756823436 [2025-04-15T22:40:24.510Z] variation: NoOptions [2025-04-15T22:40:24.510Z] JVM_OPTIONS: [2025-04-15T22:40:24.510Z] { \ [2025-04-15T22:40:24.510Z] echo ""; echo "TEST SETUP:"; \ [2025-04-15T22:40:24.510Z] echo "Nothing to be done for setup."; \ [2025-04-15T22:40:24.510Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17447555559080/renaissance-movie-lens_0"; \ [2025-04-15T22:40:24.510Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17447555559080/renaissance-movie-lens_0"; \ [2025-04-15T22:40:24.510Z] echo ""; echo "TESTING:"; \ [2025-04-15T22:40:24.510Z] "/home/jenkins/workspace/Test_openjdk17_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_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17447555559080/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-04-15T22:40:24.511Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17447555559080/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-04-15T22:40:24.511Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-04-15T22:40:24.511Z] echo "Nothing to be done for teardown."; \ [2025-04-15T22:40:24.511Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17447555559080/TestTargetResult"; [2025-04-15T22:40:24.511Z] [2025-04-15T22:40:24.511Z] TEST SETUP: [2025-04-15T22:40:24.511Z] Nothing to be done for setup. [2025-04-15T22:40:24.511Z] [2025-04-15T22:40:24.511Z] TESTING: [2025-04-15T22:40:29.862Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-04-15T22:40:36.011Z] 22:40:34.937 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. [2025-04-15T22:40:37.957Z] Got 100004 ratings from 671 users on 9066 movies. [2025-04-15T22:40:37.957Z] Training: 60056, validation: 20285, test: 19854 [2025-04-15T22:40:37.958Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-04-15T22:40:37.958Z] GC before operation: completed in 220.894 ms, heap usage 251.695 MB -> 75.773 MB. [2025-04-15T22:40:44.647Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-15T22:40:48.811Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-15T22:40:51.843Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-15T22:40:54.856Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-15T22:40:56.821Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-15T22:40:58.786Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-15T22:41:00.738Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-15T22:41:02.686Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-15T22:41:02.686Z] 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. [2025-04-15T22:41:02.686Z] The best model improves the baseline by 14.52%. [2025-04-15T22:41:02.686Z] Top recommended movies for user id 72: [2025-04-15T22:41:02.686Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-04-15T22:41:02.686Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-04-15T22:41:02.686Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-04-15T22:41:02.686Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-04-15T22:41:02.686Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-04-15T22:41:02.686Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (24585.569 ms) ====== [2025-04-15T22:41:02.686Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-04-15T22:41:02.686Z] GC before operation: completed in 146.865 ms, heap usage 539.243 MB -> 90.564 MB. [2025-04-15T22:41:05.693Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-15T22:41:08.709Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-15T22:41:11.717Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-15T22:41:13.668Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-15T22:41:16.366Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-15T22:41:17.314Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-15T22:41:19.264Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-15T22:41:20.213Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-15T22:41:21.163Z] 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. [2025-04-15T22:41:21.163Z] The best model improves the baseline by 14.52%. [2025-04-15T22:41:21.163Z] Top recommended movies for user id 72: [2025-04-15T22:41:21.163Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-04-15T22:41:21.163Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-04-15T22:41:21.163Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-04-15T22:41:21.163Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-04-15T22:41:21.163Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-04-15T22:41:21.163Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (18006.469 ms) ====== [2025-04-15T22:41:21.163Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-04-15T22:41:21.163Z] GC before operation: completed in 137.834 ms, heap usage 219.026 MB -> 95.309 MB. [2025-04-15T22:41:24.172Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-15T22:41:26.119Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-15T22:41:29.134Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-15T22:41:31.086Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-15T22:41:33.038Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-15T22:41:34.985Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-15T22:41:35.933Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-15T22:41:37.880Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-15T22:41:37.880Z] 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. [2025-04-15T22:41:37.880Z] The best model improves the baseline by 14.52%. [2025-04-15T22:41:37.880Z] Top recommended movies for user id 72: [2025-04-15T22:41:37.880Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-04-15T22:41:37.880Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-04-15T22:41:37.880Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-04-15T22:41:37.880Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-04-15T22:41:37.880Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-04-15T22:41:37.880Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (16975.075 ms) ====== [2025-04-15T22:41:37.880Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-04-15T22:41:37.880Z] GC before operation: completed in 128.033 ms, heap usage 311.279 MB -> 91.690 MB. [2025-04-15T22:41:40.891Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-15T22:41:42.849Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-15T22:41:45.856Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-15T22:41:47.810Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-15T22:41:49.760Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-15T22:41:50.713Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-15T22:41:52.662Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-15T22:41:53.610Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-15T22:41:54.560Z] 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. [2025-04-15T22:41:54.560Z] The best model improves the baseline by 14.52%. [2025-04-15T22:41:54.560Z] Top recommended movies for user id 72: [2025-04-15T22:41:54.560Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-04-15T22:41:54.560Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-04-15T22:41:54.560Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-04-15T22:41:54.560Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-04-15T22:41:54.560Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-04-15T22:41:54.560Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (16091.656 ms) ====== [2025-04-15T22:41:54.560Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-04-15T22:41:54.560Z] GC before operation: completed in 139.278 ms, heap usage 687.547 MB -> 95.699 MB. [2025-04-15T22:41:56.705Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-15T22:41:59.339Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-15T22:42:02.343Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-15T22:42:04.295Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-15T22:42:05.243Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-15T22:42:07.191Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-15T22:42:08.141Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-15T22:42:10.091Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-15T22:42:10.091Z] 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. [2025-04-15T22:42:10.091Z] The best model improves the baseline by 14.52%. [2025-04-15T22:42:11.040Z] Top recommended movies for user id 72: [2025-04-15T22:42:11.040Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-04-15T22:42:11.040Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-04-15T22:42:11.040Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-04-15T22:42:11.040Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-04-15T22:42:11.040Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-04-15T22:42:11.040Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (16074.535 ms) ====== [2025-04-15T22:42:11.040Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-04-15T22:42:11.040Z] GC before operation: completed in 169.413 ms, heap usage 309.270 MB -> 95.374 MB. [2025-04-15T22:42:12.989Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-15T22:42:15.995Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-15T22:42:17.945Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-15T22:42:19.897Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-15T22:42:21.858Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-15T22:42:22.826Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-15T22:42:24.777Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-15T22:42:25.727Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-15T22:42:25.727Z] 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. [2025-04-15T22:42:25.727Z] The best model improves the baseline by 14.52%. [2025-04-15T22:42:26.676Z] Top recommended movies for user id 72: [2025-04-15T22:42:26.676Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-04-15T22:42:26.676Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-04-15T22:42:26.676Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-04-15T22:42:26.676Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-04-15T22:42:26.676Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-04-15T22:42:26.676Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (15583.474 ms) ====== [2025-04-15T22:42:26.676Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-04-15T22:42:26.676Z] GC before operation: completed in 204.385 ms, heap usage 253.261 MB -> 95.695 MB. [2025-04-15T22:42:28.622Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-15T22:42:31.627Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-15T22:42:33.576Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-15T22:42:35.524Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-15T22:42:36.473Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-15T22:42:38.423Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-15T22:42:40.236Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-15T22:42:41.380Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-15T22:42:41.380Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-04-15T22:42:41.380Z] The best model improves the baseline by 14.52%. [2025-04-15T22:42:41.380Z] Top recommended movies for user id 72: [2025-04-15T22:42:41.380Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-04-15T22:42:41.380Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-04-15T22:42:41.380Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-04-15T22:42:41.380Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-04-15T22:42:41.380Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-04-15T22:42:41.380Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (14776.869 ms) ====== [2025-04-15T22:42:41.380Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-04-15T22:42:41.380Z] GC before operation: completed in 161.681 ms, heap usage 870.205 MB -> 96.800 MB. [2025-04-15T22:42:43.329Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-15T22:42:46.347Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-15T22:42:48.297Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-15T22:42:50.247Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-15T22:42:52.199Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-15T22:42:53.148Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-15T22:42:55.099Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-15T22:42:56.048Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-15T22:42:57.001Z] 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. [2025-04-15T22:42:57.002Z] The best model improves the baseline by 14.52%. [2025-04-15T22:42:57.002Z] Top recommended movies for user id 72: [2025-04-15T22:42:57.002Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-04-15T22:42:57.002Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-04-15T22:42:57.002Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-04-15T22:42:57.002Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-04-15T22:42:57.002Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-04-15T22:42:57.002Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (15527.486 ms) ====== [2025-04-15T22:42:57.002Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-04-15T22:42:57.002Z] GC before operation: completed in 202.247 ms, heap usage 330.838 MB -> 90.273 MB. [2025-04-15T22:43:00.031Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-15T22:43:03.047Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-15T22:43:04.993Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-15T22:43:06.941Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-15T22:43:08.887Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-15T22:43:09.837Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-15T22:43:11.782Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-15T22:43:12.734Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-15T22:43:12.734Z] 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. [2025-04-15T22:43:12.734Z] The best model improves the baseline by 14.52%. [2025-04-15T22:43:13.689Z] Top recommended movies for user id 72: [2025-04-15T22:43:13.690Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-04-15T22:43:13.690Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-04-15T22:43:13.690Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-04-15T22:43:13.690Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-04-15T22:43:13.690Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-04-15T22:43:13.690Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (16164.413 ms) ====== [2025-04-15T22:43:13.690Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-04-15T22:43:13.690Z] GC before operation: completed in 205.560 ms, heap usage 173.240 MB -> 89.877 MB. [2025-04-15T22:43:15.639Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-15T22:43:18.647Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-15T22:43:20.593Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-15T22:43:22.543Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-15T22:43:24.281Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-15T22:43:25.230Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-15T22:43:27.179Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-15T22:43:28.130Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-15T22:43:28.130Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-04-15T22:43:28.130Z] The best model improves the baseline by 14.52%. [2025-04-15T22:43:28.130Z] Top recommended movies for user id 72: [2025-04-15T22:43:28.130Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-04-15T22:43:28.130Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-04-15T22:43:28.130Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-04-15T22:43:28.130Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-04-15T22:43:28.130Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-04-15T22:43:28.130Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (14933.248 ms) ====== [2025-04-15T22:43:28.130Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-04-15T22:43:29.079Z] GC before operation: completed in 136.919 ms, heap usage 604.980 MB -> 95.203 MB. [2025-04-15T22:43:31.027Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-15T22:43:32.976Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-15T22:43:34.933Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-15T22:43:37.940Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-15T22:43:38.889Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-15T22:43:40.834Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-15T22:43:41.783Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-15T22:43:43.729Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-15T22:43:43.730Z] 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. [2025-04-15T22:43:43.730Z] The best model improves the baseline by 14.52%. [2025-04-15T22:43:43.730Z] Top recommended movies for user id 72: [2025-04-15T22:43:43.730Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-04-15T22:43:43.730Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-04-15T22:43:43.730Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-04-15T22:43:43.730Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-04-15T22:43:43.730Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-04-15T22:43:43.730Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (15282.294 ms) ====== [2025-04-15T22:43:43.730Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-04-15T22:43:43.730Z] GC before operation: completed in 121.437 ms, heap usage 694.030 MB -> 93.769 MB. [2025-04-15T22:43:46.738Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-15T22:43:48.684Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-15T22:43:50.631Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-15T22:43:53.641Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-15T22:43:54.590Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-15T22:43:55.552Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-15T22:43:57.505Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-15T22:43:58.607Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-15T22:43:58.607Z] 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. [2025-04-15T22:43:58.607Z] The best model improves the baseline by 14.52%. [2025-04-15T22:43:59.556Z] Top recommended movies for user id 72: [2025-04-15T22:43:59.556Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-04-15T22:43:59.556Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-04-15T22:43:59.556Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-04-15T22:43:59.556Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-04-15T22:43:59.556Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-04-15T22:43:59.556Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (15000.371 ms) ====== [2025-04-15T22:43:59.556Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-04-15T22:43:59.556Z] GC before operation: completed in 126.363 ms, heap usage 822.128 MB -> 94.533 MB. [2025-04-15T22:44:01.502Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-15T22:44:03.452Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-15T22:44:07.496Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-15T22:44:08.445Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-15T22:44:09.394Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-15T22:44:11.346Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-15T22:44:12.294Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-15T22:44:14.252Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-15T22:44:14.252Z] 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. [2025-04-15T22:44:14.252Z] The best model improves the baseline by 14.52%. [2025-04-15T22:44:14.252Z] Top recommended movies for user id 72: [2025-04-15T22:44:14.252Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-04-15T22:44:14.252Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-04-15T22:44:14.252Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-04-15T22:44:14.252Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-04-15T22:44:14.252Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-04-15T22:44:14.252Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (15285.049 ms) ====== [2025-04-15T22:44:14.252Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-04-15T22:44:14.252Z] GC before operation: completed in 132.329 ms, heap usage 512.485 MB -> 92.831 MB. [2025-04-15T22:44:17.255Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-15T22:44:19.201Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-15T22:44:21.320Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-15T22:44:24.325Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-15T22:44:25.272Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-15T22:44:27.229Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-15T22:44:28.179Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-15T22:44:30.128Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-15T22:44:30.128Z] 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. [2025-04-15T22:44:30.128Z] The best model improves the baseline by 14.52%. [2025-04-15T22:44:30.128Z] Top recommended movies for user id 72: [2025-04-15T22:44:30.128Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-04-15T22:44:30.128Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-04-15T22:44:30.128Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-04-15T22:44:30.128Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-04-15T22:44:30.128Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-04-15T22:44:30.128Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (15480.288 ms) ====== [2025-04-15T22:44:30.128Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-04-15T22:44:30.128Z] GC before operation: completed in 136.661 ms, heap usage 844.567 MB -> 94.463 MB. [2025-04-15T22:44:33.133Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-15T22:44:35.079Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-15T22:44:37.026Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-15T22:44:40.031Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-15T22:44:40.998Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-15T22:44:41.946Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-15T22:44:43.894Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-15T22:44:44.843Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-15T22:44:44.843Z] 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. [2025-04-15T22:44:44.843Z] The best model improves the baseline by 14.52%. [2025-04-15T22:44:45.792Z] Top recommended movies for user id 72: [2025-04-15T22:44:45.792Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-04-15T22:44:45.792Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-04-15T22:44:45.792Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-04-15T22:44:45.792Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-04-15T22:44:45.792Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-04-15T22:44:45.792Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (15244.670 ms) ====== [2025-04-15T22:44:45.792Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-04-15T22:44:45.792Z] GC before operation: completed in 139.509 ms, heap usage 198.542 MB -> 95.893 MB. [2025-04-15T22:44:47.737Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-15T22:44:49.684Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-15T22:44:53.552Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-15T22:44:54.686Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-15T22:44:55.640Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-15T22:44:57.587Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-15T22:44:58.638Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-15T22:45:00.595Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-15T22:45:00.595Z] 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. [2025-04-15T22:45:00.595Z] The best model improves the baseline by 14.52%. [2025-04-15T22:45:00.595Z] Top recommended movies for user id 72: [2025-04-15T22:45:00.595Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-04-15T22:45:00.595Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-04-15T22:45:00.595Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-04-15T22:45:00.595Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-04-15T22:45:00.595Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-04-15T22:45:00.595Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (15147.935 ms) ====== [2025-04-15T22:45:00.595Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-04-15T22:45:00.595Z] GC before operation: completed in 126.185 ms, heap usage 172.928 MB -> 93.323 MB. [2025-04-15T22:45:03.626Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-15T22:45:05.578Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-15T22:45:07.531Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-15T22:45:09.480Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-15T22:45:11.428Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-15T22:45:12.378Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-15T22:45:14.325Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-15T22:45:15.281Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-15T22:45:16.230Z] 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. [2025-04-15T22:45:16.230Z] The best model improves the baseline by 14.52%. [2025-04-15T22:45:16.230Z] Top recommended movies for user id 72: [2025-04-15T22:45:16.230Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-04-15T22:45:16.230Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-04-15T22:45:16.230Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-04-15T22:45:16.230Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-04-15T22:45:16.230Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-04-15T22:45:16.230Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (15150.976 ms) ====== [2025-04-15T22:45:16.230Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-04-15T22:45:16.230Z] GC before operation: completed in 127.953 ms, heap usage 145.506 MB -> 95.856 MB. [2025-04-15T22:45:18.177Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-15T22:45:21.179Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-15T22:45:23.123Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-15T22:45:25.070Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-15T22:45:26.019Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-15T22:45:27.964Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-15T22:45:28.912Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-15T22:45:29.860Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-15T22:45:30.808Z] 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. [2025-04-15T22:45:30.808Z] The best model improves the baseline by 14.52%. [2025-04-15T22:45:30.808Z] Top recommended movies for user id 72: [2025-04-15T22:45:30.808Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-04-15T22:45:30.808Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-04-15T22:45:30.808Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-04-15T22:45:30.808Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-04-15T22:45:30.808Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-04-15T22:45:30.808Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (14630.868 ms) ====== [2025-04-15T22:45:30.809Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-04-15T22:45:30.809Z] GC before operation: completed in 135.067 ms, heap usage 272.700 MB -> 92.558 MB. [2025-04-15T22:45:32.753Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-15T22:45:36.545Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-15T22:45:37.493Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-15T22:45:39.441Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-15T22:45:41.389Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-15T22:45:42.380Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-15T22:45:44.328Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-15T22:45:45.278Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-15T22:45:45.278Z] 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. [2025-04-15T22:45:45.278Z] The best model improves the baseline by 14.52%. [2025-04-15T22:45:46.231Z] Top recommended movies for user id 72: [2025-04-15T22:45:46.231Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-04-15T22:45:46.231Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-04-15T22:45:46.231Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-04-15T22:45:46.231Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-04-15T22:45:46.231Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-04-15T22:45:46.231Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (15030.405 ms) ====== [2025-04-15T22:45:46.231Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-04-15T22:45:46.231Z] GC before operation: completed in 142.647 ms, heap usage 222.978 MB -> 95.885 MB. [2025-04-15T22:45:48.270Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-04-15T22:45:50.216Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-04-15T22:45:53.234Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-04-15T22:45:55.197Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-04-15T22:45:56.146Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-04-15T22:45:58.092Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-04-15T22:45:59.041Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-04-15T22:46:00.988Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-04-15T22:46:00.988Z] 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. [2025-04-15T22:46:00.988Z] The best model improves the baseline by 14.52%. [2025-04-15T22:46:00.988Z] Top recommended movies for user id 72: [2025-04-15T22:46:00.988Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-04-15T22:46:00.988Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-04-15T22:46:00.988Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-04-15T22:46:00.988Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-04-15T22:46:00.988Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-04-15T22:46:00.988Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (15241.008 ms) ====== [2025-04-15T22:46:01.938Z] ----------------------------------- [2025-04-15T22:46:01.938Z] renaissance-movie-lens_0_PASSED [2025-04-15T22:46:01.939Z] ----------------------------------- [2025-04-15T22:46:01.939Z] [2025-04-15T22:46:01.939Z] TEST TEARDOWN: [2025-04-15T22:46:01.939Z] Nothing to be done for teardown. [2025-04-15T22:46:01.939Z] renaissance-movie-lens_0 Finish Time: Tue Apr 15 22:46:01 2025 Epoch Time (ms): 1744757161320