[2026-04-21T22:54:03.706Z] Running test renaissance-movie-lens_0 ... [2026-04-21T22:54:03.706Z] =============================================== [2026-04-21T22:54:03.706Z] renaissance-movie-lens_0 Start Time: Tue Apr 21 22:54:02 2026 Epoch Time (ms): 1776812042697 [2026-04-21T22:54:03.706Z] variation: NoOptions [2026-04-21T22:54:03.706Z] JVM_OPTIONS: [2026-04-21T22:54:03.706Z] { \ [2026-04-21T22:54:03.706Z] echo ""; echo "TEST SETUP:"; \ [2026-04-21T22:54:03.706Z] echo "Nothing to be done for setup."; \ [2026-04-21T22:54:03.706Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17768103079138/renaissance-movie-lens_0"; \ [2026-04-21T22:54:03.706Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17768103079138/renaissance-movie-lens_0"; \ [2026-04-21T22:54:03.706Z] echo ""; echo "TESTING:"; \ [2026-04-21T22:54:03.706Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17768103079138/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-04-21T22:54:03.706Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17768103079138/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-04-21T22:54:03.707Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-04-21T22:54:03.707Z] echo "Nothing to be done for teardown."; \ [2026-04-21T22:54:03.707Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17768103079138/TestTargetResult"; [2026-04-21T22:54:03.707Z] [2026-04-21T22:54:03.707Z] TEST SETUP: [2026-04-21T22:54:03.707Z] Nothing to be done for setup. [2026-04-21T22:54:03.707Z] [2026-04-21T22:54:03.707Z] TESTING: [2026-04-21T22:54:15.030Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-04-21T22:54:33.453Z] 22:54:33.134 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. [2026-04-21T22:54:41.417Z] Got 100004 ratings from 671 users on 9066 movies. [2026-04-21T22:54:42.962Z] Training: 60056, validation: 20285, test: 19854 [2026-04-21T22:54:42.962Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-04-21T22:54:42.962Z] GC before operation: completed in 443.444 ms, heap usage 110.875 MB -> 75.742 MB. [2026-04-21T22:55:04.743Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:55:20.654Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:55:45.887Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:55:55.485Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:56:00.899Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:56:06.796Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:56:11.376Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:56:16.807Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:56:16.807Z] 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. [2026-04-21T22:56:17.542Z] The best model improves the baseline by 14.52%. [2026-04-21T22:56:18.279Z] Top recommended movies for user id 72: [2026-04-21T22:56:18.279Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:56:18.279Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:56:18.279Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:56:18.279Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:56:18.279Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:56:18.279Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (94666.788 ms) ====== [2026-04-21T22:56:18.279Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-04-21T22:56:18.279Z] GC before operation: completed in 356.679 ms, heap usage 182.454 MB -> 89.872 MB. [2026-04-21T22:56:27.937Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:56:36.038Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:56:44.095Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:56:52.410Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:56:55.767Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:57:00.116Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:57:05.572Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:57:09.916Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:57:10.660Z] 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. [2026-04-21T22:57:10.660Z] The best model improves the baseline by 14.52%. [2026-04-21T22:57:11.406Z] Top recommended movies for user id 72: [2026-04-21T22:57:11.406Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:57:11.406Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:57:11.406Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:57:11.406Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:57:11.406Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:57:11.406Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (53079.501 ms) ====== [2026-04-21T22:57:11.406Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-04-21T22:57:11.406Z] GC before operation: completed in 289.895 ms, heap usage 382.522 MB -> 90.841 MB. [2026-04-21T22:57:19.459Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:57:27.560Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:57:34.269Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:57:42.850Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:57:46.178Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:57:50.512Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:57:54.858Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:57:59.234Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:57:59.982Z] 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. [2026-04-21T22:57:59.982Z] The best model improves the baseline by 14.52%. [2026-04-21T22:57:59.982Z] Top recommended movies for user id 72: [2026-04-21T22:57:59.982Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:57:59.982Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:57:59.982Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:57:59.982Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:57:59.982Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:57:59.982Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (48587.539 ms) ====== [2026-04-21T22:57:59.982Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-04-21T22:58:00.729Z] GC before operation: completed in 361.445 ms, heap usage 478.471 MB -> 89.491 MB. [2026-04-21T22:58:10.441Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:58:18.577Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:58:24.027Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:58:27.836Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:58:30.242Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:58:32.637Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:58:35.025Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:58:37.425Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:58:38.181Z] 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. [2026-04-21T22:58:38.181Z] The best model improves the baseline by 14.52%. [2026-04-21T22:58:38.181Z] Top recommended movies for user id 72: [2026-04-21T22:58:38.181Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:58:38.181Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:58:38.181Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:58:38.181Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:58:38.181Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:58:38.181Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (37614.382 ms) ====== [2026-04-21T22:58:38.181Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-04-21T22:58:38.934Z] GC before operation: completed in 290.034 ms, heap usage 498.321 MB -> 89.845 MB. [2026-04-21T22:58:45.712Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:58:52.453Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:58:59.201Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:59:05.958Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:59:09.312Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:59:13.918Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T22:59:18.287Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T22:59:22.651Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T22:59:23.428Z] 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. [2026-04-21T22:59:23.428Z] The best model improves the baseline by 14.52%. [2026-04-21T22:59:24.172Z] Top recommended movies for user id 72: [2026-04-21T22:59:24.172Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T22:59:24.172Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T22:59:24.172Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T22:59:24.172Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T22:59:24.172Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T22:59:24.172Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (45413.520 ms) ====== [2026-04-21T22:59:24.172Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-04-21T22:59:24.172Z] GC before operation: completed in 339.284 ms, heap usage 141.170 MB -> 92.588 MB. [2026-04-21T22:59:33.927Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T22:59:39.391Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T22:59:43.727Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T22:59:49.185Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T22:59:52.516Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T22:59:56.820Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T23:00:01.177Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T23:00:05.541Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T23:00:06.287Z] 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. [2026-04-21T23:00:06.287Z] The best model improves the baseline by 14.52%. [2026-04-21T23:00:06.287Z] Top recommended movies for user id 72: [2026-04-21T23:00:06.287Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T23:00:06.287Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T23:00:06.287Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T23:00:06.287Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T23:00:06.287Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T23:00:06.287Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (41965.213 ms) ====== [2026-04-21T23:00:06.287Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-04-21T23:00:06.287Z] GC before operation: completed in 168.010 ms, heap usage 367.870 MB -> 91.766 MB. [2026-04-21T23:00:11.779Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T23:00:20.004Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T23:00:25.467Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T23:00:30.933Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T23:00:33.332Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T23:00:36.650Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T23:00:40.478Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T23:00:44.838Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T23:00:44.838Z] 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. [2026-04-21T23:00:45.579Z] The best model improves the baseline by 14.52%. [2026-04-21T23:00:45.579Z] Top recommended movies for user id 72: [2026-04-21T23:00:45.579Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T23:00:45.579Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T23:00:45.579Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T23:00:45.579Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T23:00:45.579Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T23:00:45.579Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (39131.101 ms) ====== [2026-04-21T23:00:45.579Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-04-21T23:00:45.579Z] GC before operation: completed in 225.059 ms, heap usage 216.225 MB -> 93.019 MB. [2026-04-21T23:00:52.273Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T23:00:57.741Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T23:01:03.235Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T23:01:09.930Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T23:01:13.288Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T23:01:16.611Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T23:01:19.960Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T23:01:24.539Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T23:01:25.282Z] 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. [2026-04-21T23:01:25.282Z] The best model improves the baseline by 14.52%. [2026-04-21T23:01:25.282Z] Top recommended movies for user id 72: [2026-04-21T23:01:25.282Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T23:01:25.282Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T23:01:25.282Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T23:01:25.282Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T23:01:25.282Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T23:01:25.282Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (39744.235 ms) ====== [2026-04-21T23:01:25.282Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-04-21T23:01:26.043Z] GC before operation: completed in 326.311 ms, heap usage 245.677 MB -> 89.962 MB. [2026-04-21T23:01:32.769Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T23:01:38.246Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T23:01:47.996Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T23:01:57.652Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T23:02:00.985Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T23:02:04.328Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T23:02:09.185Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T23:02:13.524Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T23:02:14.265Z] 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. [2026-04-21T23:02:14.265Z] The best model improves the baseline by 14.52%. [2026-04-21T23:02:14.265Z] Top recommended movies for user id 72: [2026-04-21T23:02:14.265Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T23:02:14.265Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T23:02:14.265Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T23:02:14.265Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T23:02:14.266Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T23:02:14.266Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (48703.533 ms) ====== [2026-04-21T23:02:14.266Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-04-21T23:02:15.010Z] GC before operation: completed in 309.005 ms, heap usage 276.744 MB -> 93.242 MB. [2026-04-21T23:02:21.718Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T23:02:27.160Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T23:02:33.829Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T23:02:39.321Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T23:02:43.668Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T23:02:47.016Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T23:02:50.833Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T23:02:54.168Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T23:02:54.921Z] 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. [2026-04-21T23:02:54.921Z] The best model improves the baseline by 14.52%. [2026-04-21T23:02:54.921Z] Top recommended movies for user id 72: [2026-04-21T23:02:54.921Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T23:02:54.921Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T23:02:54.921Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T23:02:54.921Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T23:02:54.922Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T23:02:54.922Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (40082.969 ms) ====== [2026-04-21T23:02:54.922Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-04-21T23:02:54.922Z] GC before operation: completed in 225.392 ms, heap usage 143.123 MB -> 93.551 MB. [2026-04-21T23:03:00.437Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T23:03:05.975Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T23:03:12.737Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T23:03:17.119Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T23:03:21.494Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T23:03:23.942Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T23:03:28.333Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T23:03:31.699Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T23:03:32.458Z] 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. [2026-04-21T23:03:32.458Z] The best model improves the baseline by 14.52%. [2026-04-21T23:03:32.458Z] Top recommended movies for user id 72: [2026-04-21T23:03:32.458Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T23:03:32.458Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T23:03:32.458Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T23:03:32.458Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T23:03:32.458Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T23:03:32.458Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (37347.393 ms) ====== [2026-04-21T23:03:32.458Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-04-21T23:03:33.215Z] GC before operation: completed in 270.608 ms, heap usage 565.155 MB -> 96.104 MB. [2026-04-21T23:03:38.778Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T23:03:44.776Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T23:03:50.313Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T23:03:54.712Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T23:03:58.085Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T23:04:01.458Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T23:04:04.836Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T23:04:08.202Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T23:04:08.960Z] 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. [2026-04-21T23:04:08.960Z] The best model improves the baseline by 14.52%. [2026-04-21T23:04:08.960Z] Top recommended movies for user id 72: [2026-04-21T23:04:08.960Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T23:04:08.960Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T23:04:08.960Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T23:04:08.960Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T23:04:08.960Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T23:04:08.960Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (36394.700 ms) ====== [2026-04-21T23:04:08.960Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-04-21T23:04:09.728Z] GC before operation: completed in 171.582 ms, heap usage 393.046 MB -> 90.135 MB. [2026-04-21T23:04:15.240Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T23:04:20.044Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T23:04:30.341Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T23:04:35.832Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T23:04:38.256Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T23:04:41.375Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T23:04:43.792Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T23:04:53.539Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T23:04:53.540Z] 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. [2026-04-21T23:04:53.540Z] The best model improves the baseline by 14.52%. [2026-04-21T23:04:54.288Z] Top recommended movies for user id 72: [2026-04-21T23:04:54.288Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T23:04:54.288Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T23:04:54.288Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T23:04:54.288Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T23:04:54.288Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T23:04:54.288Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (44566.331 ms) ====== [2026-04-21T23:04:54.288Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-04-21T23:04:54.288Z] GC before operation: completed in 157.051 ms, heap usage 452.086 MB -> 90.353 MB. [2026-04-21T23:05:02.080Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T23:05:06.448Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T23:05:09.790Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T23:05:13.404Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T23:05:15.826Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T23:05:18.359Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T23:05:19.908Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T23:05:22.323Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T23:05:22.323Z] 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. [2026-04-21T23:05:22.323Z] The best model improves the baseline by 14.52%. [2026-04-21T23:05:22.324Z] Top recommended movies for user id 72: [2026-04-21T23:05:22.324Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T23:05:22.324Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T23:05:22.324Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T23:05:22.324Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T23:05:22.324Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T23:05:22.324Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (28481.831 ms) ====== [2026-04-21T23:05:22.324Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-04-21T23:05:23.073Z] GC before operation: completed in 146.622 ms, heap usage 204.153 MB -> 91.525 MB. [2026-04-21T23:05:26.420Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T23:05:29.753Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T23:05:35.302Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T23:05:39.726Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T23:05:43.074Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T23:05:46.479Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T23:05:49.827Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T23:05:51.662Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T23:05:52.420Z] 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. [2026-04-21T23:05:52.420Z] The best model improves the baseline by 14.52%. [2026-04-21T23:05:52.420Z] Top recommended movies for user id 72: [2026-04-21T23:05:52.420Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T23:05:52.420Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T23:05:52.420Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T23:05:52.420Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T23:05:52.420Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T23:05:52.420Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (29846.397 ms) ====== [2026-04-21T23:05:52.420Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-04-21T23:05:53.177Z] GC before operation: completed in 215.592 ms, heap usage 548.264 MB -> 93.675 MB. [2026-04-21T23:05:58.680Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T23:06:04.223Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T23:06:07.570Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T23:06:10.918Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T23:06:13.331Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T23:06:14.887Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T23:06:18.276Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T23:06:19.832Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T23:06:20.594Z] 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. [2026-04-21T23:06:20.594Z] The best model improves the baseline by 14.52%. [2026-04-21T23:06:20.594Z] Top recommended movies for user id 72: [2026-04-21T23:06:20.594Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T23:06:20.594Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T23:06:20.594Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T23:06:20.594Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T23:06:20.594Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T23:06:20.594Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (27814.533 ms) ====== [2026-04-21T23:06:20.594Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-04-21T23:06:20.594Z] GC before operation: completed in 153.386 ms, heap usage 229.623 MB -> 95.208 MB. [2026-04-21T23:06:24.957Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T23:06:28.308Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T23:06:31.676Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T23:06:35.030Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T23:06:37.944Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T23:06:39.496Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T23:06:41.912Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T23:06:43.469Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T23:06:44.225Z] 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. [2026-04-21T23:06:44.225Z] The best model improves the baseline by 14.52%. [2026-04-21T23:06:44.225Z] Top recommended movies for user id 72: [2026-04-21T23:06:44.225Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T23:06:44.225Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T23:06:44.225Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T23:06:44.225Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T23:06:44.225Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T23:06:44.225Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (23305.628 ms) ====== [2026-04-21T23:06:44.225Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-04-21T23:06:44.225Z] GC before operation: completed in 178.175 ms, heap usage 288.486 MB -> 90.039 MB. [2026-04-21T23:06:48.595Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T23:06:51.970Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T23:06:57.471Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T23:07:01.856Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T23:07:05.217Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T23:07:07.647Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T23:07:11.036Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T23:07:13.467Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T23:07:13.467Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-04-21T23:07:13.467Z] The best model improves the baseline by 14.52%. [2026-04-21T23:07:14.219Z] Top recommended movies for user id 72: [2026-04-21T23:07:14.219Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T23:07:14.219Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T23:07:14.219Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T23:07:14.219Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T23:07:14.219Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T23:07:14.219Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (29759.119 ms) ====== [2026-04-21T23:07:14.219Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-04-21T23:07:14.219Z] GC before operation: completed in 295.797 ms, heap usage 295.557 MB -> 89.947 MB. [2026-04-21T23:07:18.988Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T23:07:25.762Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T23:07:32.566Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T23:07:44.022Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T23:07:47.391Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T23:07:54.123Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T23:07:56.538Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T23:07:58.964Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T23:07:59.722Z] 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. [2026-04-21T23:07:59.722Z] The best model improves the baseline by 14.52%. [2026-04-21T23:07:59.722Z] Top recommended movies for user id 72: [2026-04-21T23:07:59.722Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T23:07:59.722Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T23:07:59.722Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T23:07:59.722Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T23:07:59.722Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T23:07:59.722Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (45555.882 ms) ====== [2026-04-21T23:07:59.722Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-04-21T23:08:00.469Z] GC before operation: completed in 311.152 ms, heap usage 302.088 MB -> 93.199 MB. [2026-04-21T23:08:18.080Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-21T23:08:23.595Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-21T23:08:29.093Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-21T23:08:37.246Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-21T23:08:41.742Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-21T23:08:45.108Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-21T23:08:48.484Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-21T23:08:50.933Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-21T23:08:51.690Z] 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. [2026-04-21T23:08:51.690Z] The best model improves the baseline by 14.52%. [2026-04-21T23:08:52.459Z] Top recommended movies for user id 72: [2026-04-21T23:08:52.459Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-21T23:08:52.459Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-21T23:08:52.459Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-21T23:08:52.459Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-21T23:08:52.459Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-21T23:08:52.459Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (52195.691 ms) ====== [2026-04-21T23:08:53.701Z] ----------------------------------- [2026-04-21T23:08:53.701Z] renaissance-movie-lens_0_PASSED [2026-04-21T23:08:53.701Z] ----------------------------------- [2026-04-21T23:08:53.701Z] [2026-04-21T23:08:53.701Z] TEST TEARDOWN: [2026-04-21T23:08:53.701Z] Nothing to be done for teardown. [2026-04-21T23:08:53.701Z] renaissance-movie-lens_0 Finish Time: Tue Apr 21 23:08:53 2026 Epoch Time (ms): 1776812933238