[2025-06-11T21:08:32.409Z] Running test renaissance-movie-lens_0 ... [2025-06-11T21:08:32.409Z] =============================================== [2025-06-11T21:08:32.409Z] renaissance-movie-lens_0 Start Time: Wed Jun 11 21:08:31 2025 Epoch Time (ms): 1749676111888 [2025-06-11T21:08:32.409Z] variation: NoOptions [2025-06-11T21:08:32.409Z] JVM_OPTIONS: [2025-06-11T21:08:32.409Z] { \ [2025-06-11T21:08:32.409Z] echo ""; echo "TEST SETUP:"; \ [2025-06-11T21:08:32.409Z] echo "Nothing to be done for setup."; \ [2025-06-11T21:08:32.409Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17496747995774/renaissance-movie-lens_0"; \ [2025-06-11T21:08:32.409Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17496747995774/renaissance-movie-lens_0"; \ [2025-06-11T21:08:32.409Z] echo ""; echo "TESTING:"; \ [2025-06-11T21:08:32.409Z] "/home/jenkins/workspace/Test_openjdk21_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_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17496747995774/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-06-11T21:08:32.409Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17496747995774/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-06-11T21:08:32.409Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-06-11T21:08:32.409Z] echo "Nothing to be done for teardown."; \ [2025-06-11T21:08:32.409Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17496747995774/TestTargetResult"; [2025-06-11T21:08:32.409Z] [2025-06-11T21:08:32.409Z] TEST SETUP: [2025-06-11T21:08:32.409Z] Nothing to be done for setup. [2025-06-11T21:08:32.409Z] [2025-06-11T21:08:32.409Z] TESTING: [2025-06-11T21:08:37.739Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-06-11T21:08:44.644Z] 21:08:43.519 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-06-11T21:08:45.591Z] Got 100004 ratings from 671 users on 9066 movies. [2025-06-11T21:08:46.537Z] Training: 60056, validation: 20285, test: 19854 [2025-06-11T21:08:46.537Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-06-11T21:08:46.537Z] GC before operation: completed in 144.752 ms, heap usage 346.795 MB -> 75.984 MB. [2025-06-11T21:08:51.869Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T21:08:54.875Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T21:08:57.871Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T21:09:00.855Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T21:09:02.800Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T21:09:03.747Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T21:09:05.698Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T21:09:06.648Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T21:09:07.597Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-11T21:09:07.597Z] The best model improves the baseline by 14.52%. [2025-06-11T21:09:07.597Z] Top recommended movies for user id 72: [2025-06-11T21:09:07.597Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-11T21:09:07.597Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-11T21:09:07.597Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-11T21:09:07.597Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-11T21:09:07.597Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-11T21:09:07.597Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (21034.261 ms) ====== [2025-06-11T21:09:07.597Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-06-11T21:09:07.597Z] GC before operation: completed in 224.264 ms, heap usage 478.138 MB -> 92.422 MB. [2025-06-11T21:09:10.667Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T21:09:12.618Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T21:09:15.656Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T21:09:17.599Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T21:09:19.543Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T21:09:20.489Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T21:09:22.439Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T21:09:24.396Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T21:09:24.396Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-11T21:09:24.396Z] The best model improves the baseline by 14.52%. [2025-06-11T21:09:24.396Z] Top recommended movies for user id 72: [2025-06-11T21:09:24.396Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-11T21:09:24.396Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-11T21:09:24.396Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-11T21:09:24.396Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-11T21:09:24.396Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-11T21:09:24.396Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (16731.663 ms) ====== [2025-06-11T21:09:24.396Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-06-11T21:09:24.396Z] GC before operation: completed in 130.559 ms, heap usage 485.214 MB -> 89.165 MB. [2025-06-11T21:09:27.393Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T21:09:29.330Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T21:09:32.340Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T21:09:34.284Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T21:09:36.221Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T21:09:37.164Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T21:09:38.112Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T21:09:40.055Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T21:09:40.055Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-11T21:09:40.055Z] The best model improves the baseline by 14.52%. [2025-06-11T21:09:40.055Z] Top recommended movies for user id 72: [2025-06-11T21:09:40.055Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-11T21:09:40.055Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-11T21:09:40.055Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-11T21:09:40.055Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-11T21:09:40.056Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-11T21:09:40.056Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (15540.555 ms) ====== [2025-06-11T21:09:40.056Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-06-11T21:09:40.056Z] GC before operation: completed in 124.572 ms, heap usage 228.419 MB -> 89.463 MB. [2025-06-11T21:09:43.055Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T21:09:44.992Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T21:09:46.927Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T21:09:48.868Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T21:09:50.815Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T21:09:51.759Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T21:09:53.708Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T21:09:54.661Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T21:09:54.662Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-11T21:09:54.662Z] The best model improves the baseline by 14.52%. [2025-06-11T21:09:54.662Z] Top recommended movies for user id 72: [2025-06-11T21:09:54.662Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-11T21:09:54.662Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-11T21:09:54.662Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-11T21:09:54.662Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-11T21:09:54.662Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-11T21:09:54.662Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (14713.724 ms) ====== [2025-06-11T21:09:54.662Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-06-11T21:09:55.606Z] GC before operation: completed in 169.363 ms, heap usage 127.328 MB -> 89.634 MB. [2025-06-11T21:09:57.573Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T21:09:59.514Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T21:10:01.457Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T21:10:04.603Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T21:10:05.548Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T21:10:06.491Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T21:10:08.427Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T21:10:09.370Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T21:10:09.370Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-11T21:10:09.370Z] The best model improves the baseline by 14.52%. [2025-06-11T21:10:10.312Z] Top recommended movies for user id 72: [2025-06-11T21:10:10.312Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-11T21:10:10.312Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-11T21:10:10.312Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-11T21:10:10.312Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-11T21:10:10.312Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-11T21:10:10.312Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (14705.264 ms) ====== [2025-06-11T21:10:10.312Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-06-11T21:10:10.312Z] GC before operation: completed in 131.644 ms, heap usage 611.504 MB -> 93.440 MB. [2025-06-11T21:10:12.251Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T21:10:14.186Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T21:10:16.133Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T21:10:18.070Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T21:10:20.025Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T21:10:21.956Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T21:10:22.900Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T21:10:23.845Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T21:10:23.845Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-11T21:10:23.845Z] The best model improves the baseline by 14.52%. [2025-06-11T21:10:24.788Z] Top recommended movies for user id 72: [2025-06-11T21:10:24.788Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-11T21:10:24.788Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-11T21:10:24.788Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-11T21:10:24.788Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-11T21:10:24.788Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-11T21:10:24.788Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (14329.532 ms) ====== [2025-06-11T21:10:24.788Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-06-11T21:10:24.788Z] GC before operation: completed in 120.239 ms, heap usage 346.313 MB -> 90.206 MB. [2025-06-11T21:10:26.723Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T21:10:28.663Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T21:10:31.670Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T21:10:33.614Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T21:10:34.556Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T21:10:36.493Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T21:10:37.436Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T21:10:39.385Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T21:10:39.385Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-11T21:10:39.385Z] The best model improves the baseline by 14.52%. [2025-06-11T21:10:39.385Z] Top recommended movies for user id 72: [2025-06-11T21:10:39.385Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-11T21:10:39.385Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-11T21:10:39.385Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-11T21:10:39.385Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-11T21:10:39.385Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-11T21:10:39.385Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (15014.182 ms) ====== [2025-06-11T21:10:39.385Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-06-11T21:10:39.385Z] GC before operation: completed in 117.632 ms, heap usage 100.048 MB -> 89.757 MB. [2025-06-11T21:10:41.324Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T21:10:43.261Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T21:10:45.236Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T21:10:47.182Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T21:10:49.118Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T21:10:50.063Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T21:10:51.004Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T21:10:52.944Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T21:10:52.944Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-11T21:10:52.944Z] The best model improves the baseline by 14.52%. [2025-06-11T21:10:52.944Z] Top recommended movies for user id 72: [2025-06-11T21:10:52.944Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-11T21:10:52.944Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-11T21:10:52.944Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-11T21:10:52.944Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-11T21:10:52.944Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-11T21:10:52.944Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (13381.744 ms) ====== [2025-06-11T21:10:52.944Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-06-11T21:10:52.944Z] GC before operation: completed in 113.484 ms, heap usage 471.781 MB -> 90.667 MB. [2025-06-11T21:10:55.934Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T21:10:57.869Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T21:10:59.807Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T21:11:01.749Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T21:11:03.682Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T21:11:04.627Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T21:11:06.562Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T21:11:07.520Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T21:11:07.520Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-11T21:11:07.520Z] The best model improves the baseline by 14.52%. [2025-06-11T21:11:08.471Z] Top recommended movies for user id 72: [2025-06-11T21:11:08.471Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-11T21:11:08.471Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-11T21:11:08.471Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-11T21:11:08.471Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-11T21:11:08.471Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-11T21:11:08.471Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (14922.633 ms) ====== [2025-06-11T21:11:08.471Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-06-11T21:11:08.471Z] GC before operation: completed in 122.360 ms, heap usage 364.019 MB -> 90.361 MB. [2025-06-11T21:11:11.326Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T21:11:12.318Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T21:11:15.312Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T21:11:17.246Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T21:11:18.189Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T21:11:20.127Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T21:11:21.071Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T21:11:22.014Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T21:11:22.957Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-11T21:11:22.957Z] The best model improves the baseline by 14.52%. [2025-06-11T21:11:22.957Z] Top recommended movies for user id 72: [2025-06-11T21:11:22.957Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-11T21:11:22.957Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-11T21:11:22.957Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-11T21:11:22.957Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-11T21:11:22.957Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-11T21:11:22.957Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (14782.655 ms) ====== [2025-06-11T21:11:22.957Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-06-11T21:11:22.957Z] GC before operation: completed in 134.038 ms, heap usage 128.362 MB -> 90.143 MB. [2025-06-11T21:11:24.894Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T21:11:27.883Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T21:11:29.818Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T21:11:31.752Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T21:11:32.693Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T21:11:34.635Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T21:11:35.580Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T21:11:36.524Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T21:11:37.467Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-11T21:11:37.467Z] The best model improves the baseline by 14.52%. [2025-06-11T21:11:37.467Z] Top recommended movies for user id 72: [2025-06-11T21:11:37.467Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-11T21:11:37.467Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-11T21:11:37.467Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-11T21:11:37.467Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-11T21:11:37.468Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-11T21:11:37.468Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (14200.597 ms) ====== [2025-06-11T21:11:37.468Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-06-11T21:11:37.468Z] GC before operation: completed in 134.128 ms, heap usage 226.169 MB -> 90.021 MB. [2025-06-11T21:11:39.403Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T21:11:41.349Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T21:11:43.286Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T21:11:45.397Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T21:11:46.341Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T21:11:47.285Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T21:11:49.223Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T21:11:50.166Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T21:11:50.166Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-11T21:11:50.166Z] The best model improves the baseline by 14.52%. [2025-06-11T21:11:51.109Z] Top recommended movies for user id 72: [2025-06-11T21:11:51.109Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-11T21:11:51.109Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-11T21:11:51.109Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-11T21:11:51.109Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-11T21:11:51.109Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-11T21:11:51.109Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (13268.314 ms) ====== [2025-06-11T21:11:51.109Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-06-11T21:11:51.109Z] GC before operation: completed in 122.491 ms, heap usage 163.611 MB -> 90.213 MB. [2025-06-11T21:11:53.076Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T21:11:55.028Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T21:11:56.968Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T21:11:58.911Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T21:12:00.848Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T21:12:01.817Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T21:12:03.885Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T21:12:04.834Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T21:12:04.834Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-11T21:12:04.834Z] The best model improves the baseline by 14.52%. [2025-06-11T21:12:04.834Z] Top recommended movies for user id 72: [2025-06-11T21:12:04.834Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-11T21:12:04.834Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-11T21:12:04.834Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-11T21:12:04.834Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-11T21:12:04.834Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-11T21:12:04.834Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (13976.232 ms) ====== [2025-06-11T21:12:04.834Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-06-11T21:12:04.834Z] GC before operation: completed in 130.397 ms, heap usage 712.938 MB -> 94.271 MB. [2025-06-11T21:12:06.781Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T21:12:08.740Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T21:12:11.730Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T21:12:13.668Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T21:12:14.611Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T21:12:15.554Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T21:12:17.488Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T21:12:18.432Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T21:12:18.432Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-11T21:12:18.432Z] The best model improves the baseline by 14.52%. [2025-06-11T21:12:19.381Z] Top recommended movies for user id 72: [2025-06-11T21:12:19.381Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-11T21:12:19.381Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-11T21:12:19.381Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-11T21:12:19.381Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-11T21:12:19.381Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-11T21:12:19.381Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (14105.926 ms) ====== [2025-06-11T21:12:19.381Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-06-11T21:12:19.381Z] GC before operation: completed in 134.018 ms, heap usage 165.220 MB -> 90.086 MB. [2025-06-11T21:12:21.313Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T21:12:23.250Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T21:12:25.186Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T21:12:27.126Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T21:12:28.069Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T21:12:30.005Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T21:12:30.949Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T21:12:31.896Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T21:12:31.896Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-11T21:12:31.896Z] The best model improves the baseline by 14.52%. [2025-06-11T21:12:32.840Z] Top recommended movies for user id 72: [2025-06-11T21:12:32.840Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-11T21:12:32.840Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-11T21:12:32.840Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-11T21:12:32.840Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-11T21:12:32.840Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-11T21:12:32.840Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (13332.981 ms) ====== [2025-06-11T21:12:32.840Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-06-11T21:12:32.840Z] GC before operation: completed in 115.884 ms, heap usage 724.517 MB -> 94.332 MB. [2025-06-11T21:12:34.777Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T21:12:36.717Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T21:12:38.668Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T21:12:41.669Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T21:12:42.614Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T21:12:45.842Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T21:12:45.842Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T21:12:46.785Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T21:12:46.785Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-11T21:12:46.785Z] The best model improves the baseline by 14.52%. [2025-06-11T21:12:46.785Z] Top recommended movies for user id 72: [2025-06-11T21:12:46.785Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-11T21:12:46.785Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-11T21:12:46.785Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-11T21:12:46.785Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-11T21:12:46.785Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-11T21:12:46.785Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14440.502 ms) ====== [2025-06-11T21:12:46.785Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-06-11T21:12:46.785Z] GC before operation: completed in 119.631 ms, heap usage 290.130 MB -> 90.360 MB. [2025-06-11T21:12:49.775Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T21:12:51.715Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T21:12:54.037Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T21:12:55.974Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T21:12:56.920Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T21:12:58.857Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T21:12:59.798Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T21:13:01.736Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T21:13:01.736Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-11T21:13:01.736Z] The best model improves the baseline by 14.52%. [2025-06-11T21:13:01.736Z] Top recommended movies for user id 72: [2025-06-11T21:13:01.736Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-11T21:13:01.736Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-11T21:13:01.736Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-11T21:13:01.736Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-11T21:13:01.736Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-11T21:13:01.736Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (14790.136 ms) ====== [2025-06-11T21:13:01.736Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-06-11T21:13:01.736Z] GC before operation: completed in 132.749 ms, heap usage 429.247 MB -> 90.592 MB. [2025-06-11T21:13:04.733Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T21:13:06.675Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T21:13:08.615Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T21:13:11.629Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T21:13:12.571Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T21:13:13.514Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T21:13:15.459Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T21:13:16.428Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T21:13:17.376Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-11T21:13:17.376Z] The best model improves the baseline by 14.52%. [2025-06-11T21:13:17.376Z] Top recommended movies for user id 72: [2025-06-11T21:13:17.376Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-11T21:13:17.376Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-11T21:13:17.376Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-11T21:13:17.376Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-11T21:13:17.376Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-11T21:13:17.376Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (15179.888 ms) ====== [2025-06-11T21:13:17.376Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-06-11T21:13:17.376Z] GC before operation: completed in 127.801 ms, heap usage 154.371 MB -> 90.044 MB. [2025-06-11T21:13:19.318Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T21:13:22.323Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T21:13:24.260Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T21:13:26.265Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T21:13:28.197Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T21:13:29.145Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T21:13:31.080Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T21:13:32.023Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T21:13:32.023Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-11T21:13:32.023Z] The best model improves the baseline by 14.52%. [2025-06-11T21:13:32.023Z] Top recommended movies for user id 72: [2025-06-11T21:13:32.023Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-11T21:13:32.023Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-11T21:13:32.023Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-11T21:13:32.023Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-11T21:13:32.023Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-11T21:13:32.023Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (14990.605 ms) ====== [2025-06-11T21:13:32.023Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-06-11T21:13:32.966Z] GC before operation: completed in 142.144 ms, heap usage 489.101 MB -> 90.677 MB. [2025-06-11T21:13:34.900Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-11T21:13:36.837Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-11T21:13:39.832Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-11T21:13:41.767Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-11T21:13:42.709Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-11T21:13:44.610Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-11T21:13:45.553Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-11T21:13:47.486Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-11T21:13:47.486Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-11T21:13:47.486Z] The best model improves the baseline by 14.52%. [2025-06-11T21:13:47.486Z] Top recommended movies for user id 72: [2025-06-11T21:13:47.486Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-11T21:13:47.486Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-11T21:13:47.486Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-11T21:13:47.486Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-11T21:13:47.486Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-11T21:13:47.486Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (15157.503 ms) ====== [2025-06-11T21:13:48.429Z] ----------------------------------- [2025-06-11T21:13:48.429Z] renaissance-movie-lens_0_PASSED [2025-06-11T21:13:48.429Z] ----------------------------------- [2025-06-11T21:13:48.429Z] [2025-06-11T21:13:48.429Z] TEST TEARDOWN: [2025-06-11T21:13:48.429Z] Nothing to be done for teardown. [2025-06-11T21:13:48.429Z] renaissance-movie-lens_0 Finish Time: Wed Jun 11 21:13:47 2025 Epoch Time (ms): 1749676427697