[2025-08-27T21:56:49.696Z] Running test renaissance-movie-lens_0 ... [2025-08-27T21:56:49.696Z] =============================================== [2025-08-27T21:56:49.696Z] renaissance-movie-lens_0 Start Time: Wed Aug 27 21:56:48 2025 Epoch Time (ms): 1756331808858 [2025-08-27T21:56:49.696Z] variation: NoOptions [2025-08-27T21:56:49.696Z] JVM_OPTIONS: [2025-08-27T21:56:49.696Z] { \ [2025-08-27T21:56:49.696Z] echo ""; echo "TEST SETUP:"; \ [2025-08-27T21:56:49.696Z] echo "Nothing to be done for setup."; \ [2025-08-27T21:56:49.696Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux_testList_1/aqa-tests/TKG/../TKG/output_17563302769259/renaissance-movie-lens_0"; \ [2025-08-27T21:56:49.696Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux_testList_1/aqa-tests/TKG/../TKG/output_17563302769259/renaissance-movie-lens_0"; \ [2025-08-27T21:56:49.696Z] echo ""; echo "TESTING:"; \ [2025-08-27T21:56:49.696Z] "/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_17563302769259/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-08-27T21:56:49.696Z] 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_17563302769259/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-08-27T21:56:49.696Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-08-27T21:56:49.696Z] echo "Nothing to be done for teardown."; \ [2025-08-27T21:56:49.696Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux_testList_1/aqa-tests/TKG/../TKG/output_17563302769259/TestTargetResult"; [2025-08-27T21:56:49.696Z] [2025-08-27T21:56:49.696Z] TEST SETUP: [2025-08-27T21:56:49.696Z] Nothing to be done for setup. [2025-08-27T21:56:49.696Z] [2025-08-27T21:56:49.696Z] TESTING: [2025-08-27T21:56:59.554Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-08-27T21:57:15.592Z] 21:57:14.240 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. [2025-08-27T21:57:19.276Z] Got 100004 ratings from 671 users on 9066 movies. [2025-08-27T21:57:20.863Z] Training: 60056, validation: 20285, test: 19854 [2025-08-27T21:57:20.863Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-08-27T21:57:20.863Z] GC before operation: completed in 312.974 ms, heap usage 279.365 MB -> 76.075 MB. [2025-08-27T21:57:37.096Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T21:57:48.832Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T21:57:58.707Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T21:58:05.583Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T21:58:11.179Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T21:58:15.151Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T21:58:19.615Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T21:58:23.077Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T21:58:23.847Z] 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. [2025-08-27T21:58:24.613Z] The best model improves the baseline by 14.52%. [2025-08-27T21:58:24.613Z] Top recommended movies for user id 72: [2025-08-27T21:58:24.614Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-27T21:58:24.614Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-27T21:58:24.614Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-27T21:58:24.614Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-27T21:58:24.614Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-27T21:58:24.614Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (63597.560 ms) ====== [2025-08-27T21:58:24.614Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-08-27T21:58:25.403Z] GC before operation: completed in 316.383 ms, heap usage 497.883 MB -> 94.385 MB. [2025-08-27T21:58:31.015Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T21:58:37.981Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T21:58:44.858Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T21:58:51.732Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T21:58:55.151Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T21:59:00.147Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T21:59:03.569Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T21:59:08.004Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T21:59:08.004Z] 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. [2025-08-27T21:59:08.004Z] The best model improves the baseline by 14.52%. [2025-08-27T21:59:08.781Z] Top recommended movies for user id 72: [2025-08-27T21:59:08.781Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-27T21:59:08.781Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-27T21:59:08.781Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-27T21:59:08.781Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-27T21:59:08.781Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-27T21:59:08.781Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (43592.498 ms) ====== [2025-08-27T21:59:08.781Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-08-27T21:59:08.781Z] GC before operation: completed in 408.616 ms, heap usage 115.422 MB -> 88.629 MB. [2025-08-27T21:59:15.594Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T21:59:22.478Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T21:59:29.331Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T21:59:34.945Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T21:59:38.360Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T21:59:42.795Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T21:59:46.238Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T21:59:51.014Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T21:59:51.014Z] 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. [2025-08-27T21:59:51.791Z] The best model improves the baseline by 14.52%. [2025-08-27T21:59:51.791Z] Top recommended movies for user id 72: [2025-08-27T21:59:51.791Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-27T21:59:51.791Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-27T21:59:51.791Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-27T21:59:51.791Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-27T21:59:51.791Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-27T21:59:51.791Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (42731.918 ms) ====== [2025-08-27T21:59:51.791Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-08-27T21:59:51.791Z] GC before operation: completed in 353.241 ms, heap usage 496.507 MB -> 89.828 MB. [2025-08-27T21:59:58.656Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T22:00:03.319Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T22:00:09.007Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T22:00:14.757Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T22:00:18.622Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T22:00:22.097Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T22:00:26.669Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T22:00:30.093Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T22:00:30.871Z] 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. [2025-08-27T22:00:30.871Z] The best model improves the baseline by 14.52%. [2025-08-27T22:00:30.871Z] Top recommended movies for user id 72: [2025-08-27T22:00:30.871Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-27T22:00:30.871Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-27T22:00:30.871Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-27T22:00:30.871Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-27T22:00:30.871Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-27T22:00:30.871Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (39021.178 ms) ====== [2025-08-27T22:00:30.871Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-08-27T22:00:31.640Z] GC before operation: completed in 336.404 ms, heap usage 459.579 MB -> 90.077 MB. [2025-08-27T22:00:38.544Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T22:00:44.107Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T22:00:50.931Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T22:00:56.476Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T22:00:59.886Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T22:01:03.330Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T22:01:07.765Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T22:01:11.188Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T22:01:11.188Z] 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. [2025-08-27T22:01:11.188Z] The best model improves the baseline by 14.52%. [2025-08-27T22:01:11.959Z] Top recommended movies for user id 72: [2025-08-27T22:01:11.959Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-27T22:01:11.959Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-27T22:01:11.959Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-27T22:01:11.959Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-27T22:01:11.959Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-27T22:01:11.959Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (40183.743 ms) ====== [2025-08-27T22:01:11.959Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-08-27T22:01:11.959Z] GC before operation: completed in 392.351 ms, heap usage 430.256 MB -> 90.063 MB. [2025-08-27T22:01:17.683Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T22:01:23.386Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T22:01:28.984Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T22:01:34.581Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T22:01:37.095Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T22:01:40.519Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T22:01:42.976Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T22:01:46.433Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T22:01:46.433Z] 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. [2025-08-27T22:01:47.196Z] The best model improves the baseline by 14.52%. [2025-08-27T22:01:47.196Z] Top recommended movies for user id 72: [2025-08-27T22:01:47.196Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-27T22:01:47.196Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-27T22:01:47.196Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-27T22:01:47.196Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-27T22:01:47.196Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-27T22:01:47.196Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (35097.866 ms) ====== [2025-08-27T22:01:47.196Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-08-27T22:01:47.197Z] GC before operation: completed in 348.289 ms, heap usage 259.153 MB -> 90.128 MB. [2025-08-27T22:01:52.814Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T22:01:57.309Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T22:02:02.889Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T22:02:07.455Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T22:02:09.905Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T22:02:13.292Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T22:02:15.745Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T22:02:18.209Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T22:02:18.980Z] 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. [2025-08-27T22:02:18.980Z] The best model improves the baseline by 14.52%. [2025-08-27T22:02:18.980Z] Top recommended movies for user id 72: [2025-08-27T22:02:18.980Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-27T22:02:18.980Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-27T22:02:18.980Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-27T22:02:18.980Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-27T22:02:18.980Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-27T22:02:18.980Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (31811.073 ms) ====== [2025-08-27T22:02:18.980Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-08-27T22:02:19.742Z] GC before operation: completed in 273.107 ms, heap usage 122.854 MB -> 91.014 MB. [2025-08-27T22:02:25.365Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T22:02:29.786Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T22:02:35.366Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T22:02:38.826Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T22:02:42.223Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T22:02:45.617Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T22:02:48.083Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T22:02:51.078Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T22:02:51.843Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-08-27T22:02:51.843Z] The best model improves the baseline by 14.52%. [2025-08-27T22:02:51.843Z] Top recommended movies for user id 72: [2025-08-27T22:02:51.843Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-27T22:02:51.843Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-27T22:02:51.843Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-27T22:02:51.843Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-27T22:02:51.843Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-27T22:02:51.843Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (32439.580 ms) ====== [2025-08-27T22:02:51.843Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-08-27T22:02:52.610Z] GC before operation: completed in 389.464 ms, heap usage 668.081 MB -> 94.144 MB. [2025-08-27T22:02:58.183Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T22:03:02.676Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T22:03:07.117Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T22:03:11.590Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T22:03:14.981Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T22:03:18.399Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T22:03:20.912Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T22:03:24.331Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T22:03:25.109Z] 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. [2025-08-27T22:03:25.109Z] The best model improves the baseline by 14.52%. [2025-08-27T22:03:25.871Z] Top recommended movies for user id 72: [2025-08-27T22:03:25.871Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-27T22:03:25.871Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-27T22:03:25.872Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-27T22:03:25.872Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-27T22:03:25.872Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-27T22:03:25.872Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (33170.847 ms) ====== [2025-08-27T22:03:25.872Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-08-27T22:03:25.872Z] GC before operation: completed in 269.347 ms, heap usage 263.416 MB -> 90.250 MB. [2025-08-27T22:03:31.504Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T22:03:35.945Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T22:03:41.746Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T22:03:46.191Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T22:03:49.582Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T22:03:53.065Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T22:03:55.540Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T22:03:58.939Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T22:03:59.702Z] 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. [2025-08-27T22:03:59.702Z] The best model improves the baseline by 14.52%. [2025-08-27T22:03:59.702Z] Top recommended movies for user id 72: [2025-08-27T22:03:59.702Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-27T22:03:59.702Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-27T22:03:59.702Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-27T22:03:59.702Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-27T22:03:59.702Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-27T22:03:59.702Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (34054.055 ms) ====== [2025-08-27T22:03:59.702Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-08-27T22:04:00.461Z] GC before operation: completed in 284.707 ms, heap usage 437.561 MB -> 90.578 MB. [2025-08-27T22:04:06.042Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T22:04:10.530Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T22:04:16.137Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T22:04:21.770Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T22:04:25.453Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T22:04:28.910Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T22:04:32.356Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T22:04:35.767Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T22:04:35.767Z] 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. [2025-08-27T22:04:35.767Z] The best model improves the baseline by 14.52%. [2025-08-27T22:04:35.767Z] Top recommended movies for user id 72: [2025-08-27T22:04:35.767Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-27T22:04:35.767Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-27T22:04:35.767Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-27T22:04:35.767Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-27T22:04:35.767Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-27T22:04:35.767Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (35796.071 ms) ====== [2025-08-27T22:04:35.767Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-08-27T22:04:36.529Z] GC before operation: completed in 304.635 ms, heap usage 189.095 MB -> 90.074 MB. [2025-08-27T22:04:41.018Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T22:04:45.465Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T22:04:49.951Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T22:04:55.516Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T22:04:57.983Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T22:05:01.389Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T22:05:03.842Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T22:05:06.788Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T22:05:07.545Z] 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. [2025-08-27T22:05:07.545Z] The best model improves the baseline by 14.52%. [2025-08-27T22:05:07.545Z] Top recommended movies for user id 72: [2025-08-27T22:05:07.545Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-27T22:05:07.545Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-27T22:05:07.545Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-27T22:05:07.545Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-27T22:05:07.545Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-27T22:05:07.545Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (31039.090 ms) ====== [2025-08-27T22:05:07.545Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-08-27T22:05:07.545Z] GC before operation: completed in 253.189 ms, heap usage 256.140 MB -> 90.402 MB. [2025-08-27T22:05:13.261Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T22:05:17.733Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T22:05:23.363Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T22:05:27.869Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T22:05:31.314Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T22:05:34.765Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T22:05:37.367Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T22:05:40.797Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T22:05:41.598Z] 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. [2025-08-27T22:05:41.598Z] The best model improves the baseline by 14.52%. [2025-08-27T22:05:41.598Z] Top recommended movies for user id 72: [2025-08-27T22:05:41.598Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-27T22:05:41.598Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-27T22:05:41.598Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-27T22:05:41.598Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-27T22:05:41.598Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-27T22:05:41.598Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (34086.613 ms) ====== [2025-08-27T22:05:41.598Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-08-27T22:05:42.361Z] GC before operation: completed in 347.547 ms, heap usage 471.046 MB -> 90.690 MB. [2025-08-27T22:05:48.026Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T22:05:52.587Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T22:05:58.261Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T22:06:02.709Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T22:06:06.120Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T22:06:08.606Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T22:06:12.025Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T22:06:14.486Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T22:06:15.258Z] 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. [2025-08-27T22:06:15.258Z] The best model improves the baseline by 14.52%. [2025-08-27T22:06:16.021Z] Top recommended movies for user id 72: [2025-08-27T22:06:16.021Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-27T22:06:16.021Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-27T22:06:16.021Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-27T22:06:16.021Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-27T22:06:16.021Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-27T22:06:16.021Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (33611.502 ms) ====== [2025-08-27T22:06:16.021Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-08-27T22:06:16.021Z] GC before operation: completed in 256.498 ms, heap usage 252.974 MB -> 90.550 MB. [2025-08-27T22:06:20.594Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T22:06:26.162Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T22:06:31.744Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T22:06:35.188Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T22:06:38.774Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T22:06:41.225Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T22:06:44.672Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T22:06:48.076Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T22:06:48.076Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-08-27T22:06:48.076Z] The best model improves the baseline by 14.52%. [2025-08-27T22:06:48.847Z] Top recommended movies for user id 72: [2025-08-27T22:06:48.847Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-27T22:06:48.847Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-27T22:06:48.847Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-27T22:06:48.847Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-27T22:06:48.847Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-27T22:06:48.847Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (32783.937 ms) ====== [2025-08-27T22:06:48.847Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-08-27T22:06:48.847Z] GC before operation: completed in 299.112 ms, heap usage 470.392 MB -> 90.790 MB. [2025-08-27T22:06:54.460Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T22:07:00.067Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T22:07:05.774Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T22:07:11.340Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T22:07:13.828Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T22:07:16.277Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T22:07:19.693Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T22:07:23.640Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T22:07:23.640Z] 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. [2025-08-27T22:07:23.640Z] The best model improves the baseline by 14.52%. [2025-08-27T22:07:23.640Z] Top recommended movies for user id 72: [2025-08-27T22:07:23.640Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-27T22:07:23.640Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-27T22:07:23.640Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-27T22:07:23.640Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-27T22:07:23.640Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-27T22:07:23.640Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (34503.803 ms) ====== [2025-08-27T22:07:23.640Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-08-27T22:07:23.640Z] GC before operation: completed in 318.780 ms, heap usage 477.807 MB -> 90.617 MB. [2025-08-27T22:07:29.269Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T22:07:33.780Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T22:07:39.401Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T22:07:44.991Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T22:07:47.428Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T22:07:49.873Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T22:07:52.336Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T22:07:55.749Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T22:07:56.512Z] 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. [2025-08-27T22:07:56.512Z] The best model improves the baseline by 14.52%. [2025-08-27T22:07:56.512Z] Top recommended movies for user id 72: [2025-08-27T22:07:56.512Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-27T22:07:56.512Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-27T22:07:56.512Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-27T22:07:56.512Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-27T22:07:56.512Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-27T22:07:56.512Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (32792.536 ms) ====== [2025-08-27T22:07:56.512Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-08-27T22:07:57.271Z] GC before operation: completed in 316.409 ms, heap usage 290.896 MB -> 90.450 MB. [2025-08-27T22:08:01.790Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T22:08:07.369Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T22:08:12.353Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T22:08:16.887Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T22:08:20.380Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T22:08:23.988Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T22:08:27.513Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T22:08:30.102Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T22:08:30.947Z] 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. [2025-08-27T22:08:30.947Z] The best model improves the baseline by 14.52%. [2025-08-27T22:08:30.947Z] Top recommended movies for user id 72: [2025-08-27T22:08:30.947Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-27T22:08:30.947Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-27T22:08:30.947Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-27T22:08:30.947Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-27T22:08:30.947Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-27T22:08:30.947Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (34084.366 ms) ====== [2025-08-27T22:08:30.947Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-08-27T22:08:30.947Z] GC before operation: completed in 300.867 ms, heap usage 195.672 MB -> 90.236 MB. [2025-08-27T22:08:36.738Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T22:08:42.530Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T22:08:48.169Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T22:08:52.657Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T22:08:55.331Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T22:08:58.750Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T22:09:01.233Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T22:09:04.640Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T22:09:04.640Z] 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. [2025-08-27T22:09:04.640Z] The best model improves the baseline by 14.52%. [2025-08-27T22:09:05.428Z] Top recommended movies for user id 72: [2025-08-27T22:09:05.428Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-27T22:09:05.428Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-27T22:09:05.428Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-27T22:09:05.428Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-27T22:09:05.428Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-27T22:09:05.428Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (33871.984 ms) ====== [2025-08-27T22:09:05.428Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-08-27T22:09:05.428Z] GC before operation: completed in 362.883 ms, heap usage 198.590 MB -> 90.429 MB. [2025-08-27T22:09:11.016Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T22:09:16.622Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T22:09:21.087Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T22:09:25.581Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T22:09:29.010Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T22:09:31.468Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T22:09:34.934Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T22:09:37.409Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T22:09:38.175Z] 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. [2025-08-27T22:09:38.175Z] The best model improves the baseline by 14.52%. [2025-08-27T22:09:39.459Z] Top recommended movies for user id 72: [2025-08-27T22:09:39.459Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-27T22:09:39.459Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-27T22:09:39.459Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-27T22:09:39.459Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-27T22:09:39.459Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-27T22:09:39.459Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (33005.327 ms) ====== [2025-08-27T22:09:39.459Z] ----------------------------------- [2025-08-27T22:09:39.459Z] renaissance-movie-lens_0_PASSED [2025-08-27T22:09:39.459Z] ----------------------------------- [2025-08-27T22:09:39.459Z] [2025-08-27T22:09:39.459Z] TEST TEARDOWN: [2025-08-27T22:09:39.459Z] Nothing to be done for teardown. [2025-08-27T22:09:39.459Z] renaissance-movie-lens_0 Finish Time: Wed Aug 27 22:09:39 2025 Epoch Time (ms): 1756332579163