[2025-07-31T01:07:33.398Z] Running test renaissance-movie-lens_0 ... [2025-07-31T01:07:33.398Z] =============================================== [2025-07-31T01:07:33.398Z] renaissance-movie-lens_0 Start Time: Thu Jul 31 01:07:32 2025 Epoch Time (ms): 1753924052875 [2025-07-31T01:07:33.398Z] variation: NoOptions [2025-07-31T01:07:33.398Z] JVM_OPTIONS: [2025-07-31T01:07:33.398Z] { \ [2025-07-31T01:07:33.398Z] echo ""; echo "TEST SETUP:"; \ [2025-07-31T01:07:33.398Z] echo "Nothing to be done for setup."; \ [2025-07-31T01:07:33.398Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux_testList_1/aqa-tests/TKG/../TKG/output_17539190198694/renaissance-movie-lens_0"; \ [2025-07-31T01:07:33.398Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux_testList_1/aqa-tests/TKG/../TKG/output_17539190198694/renaissance-movie-lens_0"; \ [2025-07-31T01:07:33.398Z] echo ""; echo "TESTING:"; \ [2025-07-31T01:07:33.398Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux_testList_1/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_x86-64_alpine-linux_testList_1/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux_testList_1/aqa-tests/TKG/../TKG/output_17539190198694/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-07-31T01:07:33.398Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux_testList_1/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux_testList_1/aqa-tests/TKG/../TKG/output_17539190198694/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-07-31T01:07:33.398Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-07-31T01:07:33.398Z] echo "Nothing to be done for teardown."; \ [2025-07-31T01:07:33.398Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux_testList_1/aqa-tests/TKG/../TKG/output_17539190198694/TestTargetResult"; [2025-07-31T01:07:33.398Z] [2025-07-31T01:07:33.398Z] TEST SETUP: [2025-07-31T01:07:33.398Z] Nothing to be done for setup. [2025-07-31T01:07:33.398Z] [2025-07-31T01:07:33.398Z] TESTING: [2025-07-31T01:07:59.385Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-07-31T01:08:41.818Z] 01:08:40.910 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-07-31T01:08:56.010Z] Got 100004 ratings from 671 users on 9066 movies. [2025-07-31T01:08:57.759Z] Training: 60056, validation: 20285, test: 19854 [2025-07-31T01:08:57.759Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-07-31T01:08:58.563Z] GC before operation: completed in 913.914 ms, heap usage 476.527 MB -> 76.004 MB. [2025-07-31T01:09:42.695Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T01:10:13.706Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T01:10:39.974Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T01:11:06.304Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T01:11:14.928Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T01:11:27.329Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T01:11:39.362Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T01:11:49.422Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T01:11:51.096Z] 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. [2025-07-31T01:11:51.884Z] The best model improves the baseline by 14.52%. [2025-07-31T01:11:53.624Z] Top recommended movies for user id 72: [2025-07-31T01:11:53.624Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-31T01:11:53.624Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-31T01:11:53.624Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-31T01:11:53.624Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-31T01:11:53.624Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-31T01:11:53.624Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (174585.377 ms) ====== [2025-07-31T01:11:53.624Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-07-31T01:11:54.416Z] GC before operation: completed in 964.081 ms, heap usage 165.082 MB -> 86.440 MB. [2025-07-31T01:12:11.057Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T01:12:28.070Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T01:12:44.417Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T01:12:58.286Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T01:13:06.776Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T01:13:13.655Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T01:13:24.175Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T01:13:32.729Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T01:13:33.522Z] 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. [2025-07-31T01:13:33.522Z] The best model improves the baseline by 14.52%. [2025-07-31T01:13:35.164Z] Top recommended movies for user id 72: [2025-07-31T01:13:35.164Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-31T01:13:35.164Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-31T01:13:35.164Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-31T01:13:35.164Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-31T01:13:35.164Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-31T01:13:35.164Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (100260.055 ms) ====== [2025-07-31T01:13:35.164Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-07-31T01:13:35.958Z] GC before operation: completed in 796.632 ms, heap usage 270.633 MB -> 88.700 MB. [2025-07-31T01:13:52.194Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T01:14:08.554Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T01:14:23.129Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T01:14:36.932Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T01:14:45.389Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T01:14:55.375Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T01:15:03.865Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T01:15:12.205Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T01:15:13.546Z] 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. [2025-07-31T01:15:13.546Z] The best model improves the baseline by 14.52%. [2025-07-31T01:15:14.332Z] Top recommended movies for user id 72: [2025-07-31T01:15:14.332Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-31T01:15:14.332Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-31T01:15:14.332Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-31T01:15:14.332Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-31T01:15:14.332Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-31T01:15:14.332Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (99003.934 ms) ====== [2025-07-31T01:15:14.332Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-07-31T01:15:15.103Z] GC before operation: completed in 724.958 ms, heap usage 395.375 MB -> 89.420 MB. [2025-07-31T01:15:31.255Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T01:15:43.034Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T01:15:54.863Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T01:16:08.785Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T01:16:16.369Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T01:16:23.320Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T01:16:31.748Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T01:16:38.615Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T01:16:39.383Z] 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. [2025-07-31T01:16:39.383Z] The best model improves the baseline by 14.52%. [2025-07-31T01:16:40.981Z] Top recommended movies for user id 72: [2025-07-31T01:16:40.981Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-31T01:16:40.981Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-31T01:16:40.981Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-31T01:16:40.981Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-31T01:16:40.982Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-31T01:16:40.982Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (85452.417 ms) ====== [2025-07-31T01:16:40.982Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-07-31T01:16:40.982Z] GC before operation: completed in 598.560 ms, heap usage 224.056 MB -> 89.518 MB. [2025-07-31T01:16:52.786Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T01:17:06.716Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T01:17:20.448Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T01:17:32.094Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T01:17:37.966Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T01:17:45.149Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T01:17:53.858Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T01:17:59.960Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T01:18:01.645Z] 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. [2025-07-31T01:18:01.645Z] The best model improves the baseline by 14.52%. [2025-07-31T01:18:02.476Z] Top recommended movies for user id 72: [2025-07-31T01:18:02.476Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-31T01:18:02.476Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-31T01:18:02.476Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-31T01:18:02.476Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-31T01:18:02.476Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-31T01:18:02.476Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (81303.154 ms) ====== [2025-07-31T01:18:02.476Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-07-31T01:18:03.278Z] GC before operation: completed in 728.169 ms, heap usage 475.734 MB -> 89.855 MB. [2025-07-31T01:18:17.589Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T01:18:31.859Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T01:18:42.137Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T01:18:52.480Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T01:19:00.148Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T01:19:11.120Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T01:19:18.431Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T01:19:24.427Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T01:19:25.230Z] 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. [2025-07-31T01:19:25.230Z] The best model improves the baseline by 14.52%. [2025-07-31T01:19:26.076Z] Top recommended movies for user id 72: [2025-07-31T01:19:26.076Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-31T01:19:26.076Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-31T01:19:26.076Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-31T01:19:26.076Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-31T01:19:26.076Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-31T01:19:26.076Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (82680.525 ms) ====== [2025-07-31T01:19:26.076Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-07-31T01:19:26.893Z] GC before operation: completed in 552.467 ms, heap usage 246.781 MB -> 89.782 MB. [2025-07-31T01:19:39.168Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T01:19:49.545Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T01:19:59.993Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T01:20:08.654Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T01:20:14.561Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T01:20:21.741Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T01:20:26.410Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T01:20:31.096Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T01:20:32.772Z] 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. [2025-07-31T01:20:32.772Z] The best model improves the baseline by 14.52%. [2025-07-31T01:20:33.580Z] Top recommended movies for user id 72: [2025-07-31T01:20:33.580Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-31T01:20:33.580Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-31T01:20:33.580Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-31T01:20:33.580Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-31T01:20:33.580Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-31T01:20:33.580Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (66638.074 ms) ====== [2025-07-31T01:20:33.580Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-07-31T01:20:33.580Z] GC before operation: completed in 538.023 ms, heap usage 358.761 MB -> 89.925 MB. [2025-07-31T01:20:42.263Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T01:20:52.661Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T01:21:01.377Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T01:21:08.535Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T01:21:13.224Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T01:21:19.146Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T01:21:23.834Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T01:21:30.593Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T01:21:30.593Z] 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. [2025-07-31T01:21:30.593Z] The best model improves the baseline by 14.52%. [2025-07-31T01:21:30.593Z] Top recommended movies for user id 72: [2025-07-31T01:21:30.593Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-31T01:21:30.593Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-31T01:21:30.593Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-31T01:21:30.593Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-31T01:21:30.593Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-31T01:21:30.593Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (56402.479 ms) ====== [2025-07-31T01:21:30.593Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-07-31T01:21:30.593Z] GC before operation: completed in 531.483 ms, heap usage 138.866 MB -> 89.787 MB. [2025-07-31T01:21:39.719Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T01:21:46.859Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T01:21:57.141Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T01:22:04.306Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T01:22:10.202Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T01:22:17.409Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T01:22:23.257Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T01:22:29.959Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T01:22:30.786Z] 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. [2025-07-31T01:22:31.626Z] The best model improves the baseline by 14.52%. [2025-07-31T01:22:32.464Z] Top recommended movies for user id 72: [2025-07-31T01:22:32.464Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-31T01:22:32.464Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-31T01:22:32.464Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-31T01:22:32.464Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-31T01:22:32.464Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-31T01:22:32.464Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (61507.087 ms) ====== [2025-07-31T01:22:32.464Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-07-31T01:22:32.464Z] GC before operation: completed in 586.619 ms, heap usage 369.721 MB -> 90.122 MB. [2025-07-31T01:22:44.658Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T01:22:56.774Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T01:23:10.938Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T01:23:21.229Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T01:23:27.708Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T01:23:33.624Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T01:23:41.010Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T01:23:46.940Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T01:23:46.940Z] 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. [2025-07-31T01:23:46.940Z] The best model improves the baseline by 14.52%. [2025-07-31T01:23:47.773Z] Top recommended movies for user id 72: [2025-07-31T01:23:47.773Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-31T01:23:47.773Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-31T01:23:47.773Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-31T01:23:47.773Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-31T01:23:47.773Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-31T01:23:47.773Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (75012.789 ms) ====== [2025-07-31T01:23:47.773Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-07-31T01:23:48.603Z] GC before operation: completed in 577.377 ms, heap usage 225.191 MB -> 90.140 MB. [2025-07-31T01:23:58.903Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T01:24:09.204Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T01:24:17.879Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T01:24:28.589Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T01:24:34.402Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T01:24:40.225Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T01:24:47.437Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T01:24:54.720Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T01:24:55.559Z] 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. [2025-07-31T01:24:56.435Z] The best model improves the baseline by 14.52%. [2025-07-31T01:24:57.261Z] Top recommended movies for user id 72: [2025-07-31T01:24:57.261Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-31T01:24:57.261Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-31T01:24:57.261Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-31T01:24:57.261Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-31T01:24:57.261Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-31T01:24:57.261Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (68581.345 ms) ====== [2025-07-31T01:24:57.261Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-07-31T01:24:57.261Z] GC before operation: completed in 608.287 ms, heap usage 292.532 MB -> 89.940 MB. [2025-07-31T01:25:09.507Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T01:25:20.058Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T01:25:32.738Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T01:25:41.340Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T01:25:47.145Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T01:25:52.966Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T01:26:00.234Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T01:26:07.392Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T01:26:08.196Z] 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. [2025-07-31T01:26:09.018Z] The best model improves the baseline by 14.52%. [2025-07-31T01:26:09.018Z] Top recommended movies for user id 72: [2025-07-31T01:26:09.018Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-31T01:26:09.018Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-31T01:26:09.018Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-31T01:26:09.018Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-31T01:26:09.018Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-31T01:26:09.018Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (71597.395 ms) ====== [2025-07-31T01:26:09.018Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-07-31T01:26:09.830Z] GC before operation: completed in 595.395 ms, heap usage 259.083 MB -> 90.060 MB. [2025-07-31T01:26:20.040Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T01:26:32.143Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T01:26:43.007Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T01:26:55.167Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T01:27:02.558Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T01:27:11.253Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T01:27:18.433Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T01:27:24.370Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T01:27:26.031Z] 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. [2025-07-31T01:27:26.031Z] The best model improves the baseline by 14.52%. [2025-07-31T01:27:26.833Z] Top recommended movies for user id 72: [2025-07-31T01:27:26.833Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-31T01:27:26.833Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-31T01:27:26.833Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-31T01:27:26.833Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-31T01:27:26.833Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-31T01:27:26.833Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (77118.437 ms) ====== [2025-07-31T01:27:26.833Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-07-31T01:27:28.439Z] GC before operation: completed in 628.251 ms, heap usage 359.448 MB -> 90.308 MB. [2025-07-31T01:27:45.069Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T01:27:55.423Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T01:28:07.599Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T01:28:16.183Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T01:28:22.586Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T01:28:29.807Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T01:28:35.760Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T01:28:40.408Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T01:28:42.065Z] 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. [2025-07-31T01:28:42.065Z] The best model improves the baseline by 14.52%. [2025-07-31T01:28:42.065Z] Top recommended movies for user id 72: [2025-07-31T01:28:42.065Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-31T01:28:42.065Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-31T01:28:42.065Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-31T01:28:42.065Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-31T01:28:42.065Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-31T01:28:42.065Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (74761.221 ms) ====== [2025-07-31T01:28:42.065Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-07-31T01:28:42.871Z] GC before operation: completed in 559.056 ms, heap usage 225.316 MB -> 89.958 MB. [2025-07-31T01:28:53.083Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T01:29:03.665Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T01:29:14.518Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T01:29:21.638Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T01:29:28.990Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T01:29:34.831Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T01:29:42.045Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T01:29:47.977Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T01:29:49.687Z] 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. [2025-07-31T01:29:50.503Z] The best model improves the baseline by 14.52%. [2025-07-31T01:29:50.503Z] Top recommended movies for user id 72: [2025-07-31T01:29:50.503Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-31T01:29:50.503Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-31T01:29:50.503Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-31T01:29:50.503Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-31T01:29:50.503Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-31T01:29:50.503Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (67847.865 ms) ====== [2025-07-31T01:29:50.503Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-07-31T01:29:51.321Z] GC before operation: completed in 705.710 ms, heap usage 426.854 MB -> 87.891 MB. [2025-07-31T01:30:04.399Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T01:30:14.599Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T01:30:28.830Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T01:30:40.826Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T01:30:48.008Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T01:30:53.895Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T01:31:03.261Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T01:31:10.446Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T01:31:12.090Z] 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. [2025-07-31T01:31:12.090Z] The best model improves the baseline by 14.52%. [2025-07-31T01:31:12.991Z] Top recommended movies for user id 72: [2025-07-31T01:31:12.991Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-31T01:31:12.991Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-31T01:31:12.991Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-31T01:31:12.991Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-31T01:31:12.991Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-31T01:31:12.991Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (81311.970 ms) ====== [2025-07-31T01:31:12.991Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-07-31T01:31:13.787Z] GC before operation: completed in 698.674 ms, heap usage 133.410 MB -> 87.387 MB. [2025-07-31T01:31:25.808Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T01:31:37.924Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T01:31:50.110Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T01:32:00.958Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T01:32:08.172Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T01:32:15.334Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T01:32:22.422Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T01:32:29.504Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T01:32:30.304Z] 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. [2025-07-31T01:32:30.304Z] The best model improves the baseline by 14.52%. [2025-07-31T01:32:31.104Z] Top recommended movies for user id 72: [2025-07-31T01:32:31.104Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-31T01:32:31.104Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-31T01:32:31.104Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-31T01:32:31.104Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-31T01:32:31.104Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-31T01:32:31.104Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (77560.466 ms) ====== [2025-07-31T01:32:31.104Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-07-31T01:32:31.902Z] GC before operation: completed in 638.577 ms, heap usage 532.117 MB -> 91.191 MB. [2025-07-31T01:32:43.944Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T01:32:54.166Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T01:33:06.576Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T01:33:16.721Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T01:33:21.384Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T01:33:29.941Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T01:33:38.472Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T01:33:45.615Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T01:33:46.752Z] 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. [2025-07-31T01:33:46.752Z] The best model improves the baseline by 14.52%. [2025-07-31T01:33:47.587Z] Top recommended movies for user id 72: [2025-07-31T01:33:47.587Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-31T01:33:47.587Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-31T01:33:47.587Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-31T01:33:47.587Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-31T01:33:47.587Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-31T01:33:47.587Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (75523.371 ms) ====== [2025-07-31T01:33:47.587Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-07-31T01:33:47.587Z] GC before operation: completed in 743.859 ms, heap usage 447.818 MB -> 87.258 MB. [2025-07-31T01:33:59.893Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T01:34:11.955Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T01:34:26.377Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T01:34:38.399Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T01:34:45.840Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T01:34:51.653Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T01:34:58.873Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T01:35:05.979Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T01:35:06.781Z] 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. [2025-07-31T01:35:06.781Z] The best model improves the baseline by 14.52%. [2025-07-31T01:35:07.584Z] Top recommended movies for user id 72: [2025-07-31T01:35:07.584Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-31T01:35:07.584Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-31T01:35:07.584Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-31T01:35:07.584Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-31T01:35:07.584Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-31T01:35:07.584Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (79741.825 ms) ====== [2025-07-31T01:35:07.584Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-07-31T01:35:08.402Z] GC before operation: completed in 653.296 ms, heap usage 501.570 MB -> 87.322 MB. [2025-07-31T01:35:20.438Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-31T01:35:32.401Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-31T01:35:45.004Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-31T01:35:57.073Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-31T01:36:02.910Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-31T01:36:08.787Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-31T01:36:16.009Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-31T01:36:23.206Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-31T01:36:24.016Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-07-31T01:36:24.016Z] The best model improves the baseline by 14.52%. [2025-07-31T01:36:24.822Z] Top recommended movies for user id 72: [2025-07-31T01:36:24.822Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-31T01:36:24.822Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-31T01:36:24.822Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-31T01:36:24.822Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-31T01:36:24.822Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-31T01:36:24.822Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (76467.714 ms) ====== [2025-07-31T01:36:26.468Z] ----------------------------------- [2025-07-31T01:36:26.468Z] renaissance-movie-lens_0_PASSED [2025-07-31T01:36:26.468Z] ----------------------------------- [2025-07-31T01:36:26.468Z] [2025-07-31T01:36:26.468Z] TEST TEARDOWN: [2025-07-31T01:36:26.468Z] Nothing to be done for teardown. [2025-07-31T01:36:26.468Z] renaissance-movie-lens_0 Finish Time: Thu Jul 31 01:36:26 2025 Epoch Time (ms): 1753925786265