[2026-04-06T22:05:54.811Z] Running test renaissance-movie-lens_0 ... [2026-04-06T22:05:54.811Z] =============================================== [2026-04-06T22:05:54.811Z] renaissance-movie-lens_0 Start Time: Mon Apr 6 22:05:54 2026 Epoch Time (ms): 1775513154173 [2026-04-06T22:05:54.811Z] variation: NoOptions [2026-04-06T22:05:54.811Z] JVM_OPTIONS: [2026-04-06T22:05:54.811Z] { \ [2026-04-06T22:05:54.811Z] echo ""; echo "TEST SETUP:"; \ [2026-04-06T22:05:54.811Z] echo "Nothing to be done for setup."; \ [2026-04-06T22:05:54.811Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17755115672902/renaissance-movie-lens_0"; \ [2026-04-06T22:05:54.811Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17755115672902/renaissance-movie-lens_0"; \ [2026-04-06T22:05:54.811Z] echo ""; echo "TESTING:"; \ [2026-04-06T22:05:54.811Z] "/home/jenkins/workspace/Test_openjdk11_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_openjdk11_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17755115672902/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-04-06T22:05:54.811Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17755115672902/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-04-06T22:05:54.811Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-04-06T22:05:54.811Z] echo "Nothing to be done for teardown."; \ [2026-04-06T22:05:54.811Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17755115672902/TestTargetResult"; [2026-04-06T22:05:54.811Z] [2026-04-06T22:05:54.811Z] TEST SETUP: [2026-04-06T22:05:54.811Z] Nothing to be done for setup. [2026-04-06T22:05:54.811Z] [2026-04-06T22:05:54.811Z] TESTING: [2026-04-06T22:06:01.736Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-04-06T22:06:15.461Z] 22:06:13.555 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-04-06T22:06:17.062Z] Got 100004 ratings from 671 users on 9066 movies. [2026-04-06T22:06:17.841Z] Training: 60056, validation: 20285, test: 19854 [2026-04-06T22:06:17.841Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-04-06T22:06:17.841Z] GC before operation: completed in 285.732 ms, heap usage 153.492 MB -> 74.376 MB. [2026-04-06T22:06:31.651Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T22:06:39.964Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T22:06:47.820Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T22:06:50.294Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T22:06:53.719Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T22:06:56.704Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T22:06:58.301Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T22:07:01.750Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T22:07:01.750Z] 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. [2026-04-06T22:07:01.750Z] The best model improves the baseline by 14.52%. [2026-04-06T22:07:04.666Z] Top recommended movies for user id 72: [2026-04-06T22:07:04.666Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T22:07:04.666Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T22:07:04.666Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T22:07:04.666Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T22:07:04.666Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T22:07:04.666Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (44508.894 ms) ====== [2026-04-06T22:07:04.666Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-04-06T22:07:04.666Z] GC before operation: completed in 285.138 ms, heap usage 145.640 MB -> 86.537 MB. [2026-04-06T22:07:09.227Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T22:07:16.948Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T22:07:21.309Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T22:07:23.945Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T22:07:26.409Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T22:07:28.002Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T22:07:30.552Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T22:07:32.152Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T22:07:32.919Z] 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. [2026-04-06T22:07:32.919Z] The best model improves the baseline by 14.52%. [2026-04-06T22:07:32.919Z] Top recommended movies for user id 72: [2026-04-06T22:07:32.919Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T22:07:32.919Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T22:07:32.919Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T22:07:32.919Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T22:07:32.919Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T22:07:32.919Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (30539.180 ms) ====== [2026-04-06T22:07:32.919Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-04-06T22:07:33.744Z] GC before operation: completed in 171.322 ms, heap usage 223.302 MB -> 87.428 MB. [2026-04-06T22:07:37.167Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T22:07:40.574Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T22:07:45.036Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T22:07:49.510Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T22:07:51.981Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T22:07:54.453Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T22:07:57.881Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T22:07:59.474Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T22:08:00.320Z] 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. [2026-04-06T22:08:00.320Z] The best model improves the baseline by 14.52%. [2026-04-06T22:08:00.320Z] Top recommended movies for user id 72: [2026-04-06T22:08:00.320Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T22:08:00.320Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T22:08:00.320Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T22:08:00.320Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T22:08:00.320Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T22:08:00.320Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (27039.628 ms) ====== [2026-04-06T22:08:00.320Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-04-06T22:08:00.320Z] GC before operation: completed in 285.336 ms, heap usage 223.163 MB -> 88.051 MB. [2026-04-06T22:08:04.853Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T22:08:10.589Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T22:08:17.502Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T22:08:22.151Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T22:08:24.620Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T22:08:27.216Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T22:08:29.680Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T22:08:34.150Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T22:08:34.150Z] 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. [2026-04-06T22:08:34.150Z] The best model improves the baseline by 14.52%. [2026-04-06T22:08:34.150Z] Top recommended movies for user id 72: [2026-04-06T22:08:34.150Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T22:08:34.150Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T22:08:34.150Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T22:08:34.150Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T22:08:34.150Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T22:08:34.150Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (33887.978 ms) ====== [2026-04-06T22:08:34.150Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-04-06T22:08:34.920Z] GC before operation: completed in 405.252 ms, heap usage 448.204 MB -> 88.589 MB. [2026-04-06T22:08:39.384Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T22:08:43.979Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T22:08:49.585Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T22:08:55.216Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T22:08:58.656Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T22:09:01.184Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T22:09:02.773Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T22:09:05.236Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T22:09:05.236Z] 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. [2026-04-06T22:09:05.236Z] The best model improves the baseline by 14.52%. [2026-04-06T22:09:05.236Z] Top recommended movies for user id 72: [2026-04-06T22:09:05.236Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T22:09:05.236Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T22:09:05.236Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T22:09:05.236Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T22:09:05.236Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T22:09:05.236Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (30437.063 ms) ====== [2026-04-06T22:09:05.236Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-04-06T22:09:05.236Z] GC before operation: completed in 180.016 ms, heap usage 399.609 MB -> 88.543 MB. [2026-04-06T22:09:08.665Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T22:09:12.079Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T22:09:15.663Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T22:09:19.081Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T22:09:20.664Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T22:09:23.128Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T22:09:24.750Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T22:09:27.207Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T22:09:27.207Z] 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. [2026-04-06T22:09:27.207Z] The best model improves the baseline by 14.52%. [2026-04-06T22:09:27.207Z] Top recommended movies for user id 72: [2026-04-06T22:09:27.207Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T22:09:27.207Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T22:09:27.207Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T22:09:27.207Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T22:09:27.207Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T22:09:27.207Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (21622.086 ms) ====== [2026-04-06T22:09:27.207Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-04-06T22:09:27.207Z] GC before operation: completed in 158.328 ms, heap usage 236.023 MB -> 88.645 MB. [2026-04-06T22:09:30.672Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T22:09:34.224Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T22:09:37.627Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T22:09:41.035Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T22:09:42.616Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T22:09:45.118Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T22:09:46.707Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T22:09:48.293Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T22:09:49.069Z] 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. [2026-04-06T22:09:49.069Z] The best model improves the baseline by 14.52%. [2026-04-06T22:09:49.069Z] Top recommended movies for user id 72: [2026-04-06T22:09:49.069Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T22:09:49.069Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T22:09:49.069Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T22:09:49.069Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T22:09:49.069Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T22:09:49.069Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (21858.695 ms) ====== [2026-04-06T22:09:49.069Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-04-06T22:09:49.069Z] GC before operation: completed in 166.716 ms, heap usage 165.887 MB -> 88.532 MB. [2026-04-06T22:09:52.479Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T22:09:55.896Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T22:09:58.356Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T22:10:01.770Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T22:10:03.352Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T22:10:05.815Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T22:10:07.392Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T22:10:08.983Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T22:10:09.746Z] 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. [2026-04-06T22:10:09.746Z] The best model improves the baseline by 14.52%. [2026-04-06T22:10:09.746Z] Top recommended movies for user id 72: [2026-04-06T22:10:09.746Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T22:10:09.746Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T22:10:09.746Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T22:10:09.746Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T22:10:09.746Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T22:10:09.746Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (20244.788 ms) ====== [2026-04-06T22:10:09.746Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-04-06T22:10:09.746Z] GC before operation: completed in 169.754 ms, heap usage 429.946 MB -> 89.000 MB. [2026-04-06T22:10:13.159Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T22:10:17.088Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T22:10:19.556Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T22:10:22.973Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T22:10:24.557Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T22:10:27.009Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T22:10:28.597Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T22:10:31.058Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T22:10:31.058Z] 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. [2026-04-06T22:10:31.058Z] The best model improves the baseline by 14.52%. [2026-04-06T22:10:31.058Z] Top recommended movies for user id 72: [2026-04-06T22:10:31.058Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T22:10:31.058Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T22:10:31.058Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T22:10:31.058Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T22:10:31.058Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T22:10:31.058Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (21305.316 ms) ====== [2026-04-06T22:10:31.058Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-04-06T22:10:31.058Z] GC before operation: completed in 159.841 ms, heap usage 196.851 MB -> 88.628 MB. [2026-04-06T22:10:34.465Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T22:10:37.864Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T22:10:41.270Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T22:10:44.675Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T22:10:46.307Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T22:10:47.894Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T22:10:50.361Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T22:10:51.947Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T22:10:51.947Z] 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. [2026-04-06T22:10:51.947Z] The best model improves the baseline by 14.52%. [2026-04-06T22:10:52.713Z] Top recommended movies for user id 72: [2026-04-06T22:10:52.713Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T22:10:52.713Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T22:10:52.713Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T22:10:52.713Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T22:10:52.713Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T22:10:52.713Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (21199.619 ms) ====== [2026-04-06T22:10:52.713Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-04-06T22:10:52.713Z] GC before operation: completed in 164.904 ms, heap usage 109.792 MB -> 88.737 MB. [2026-04-06T22:10:56.123Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T22:10:58.596Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T22:11:02.032Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T22:11:05.447Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T22:11:07.029Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T22:11:08.617Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T22:11:11.088Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T22:11:12.677Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T22:11:12.677Z] 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. [2026-04-06T22:11:12.677Z] The best model improves the baseline by 14.52%. [2026-04-06T22:11:13.441Z] Top recommended movies for user id 72: [2026-04-06T22:11:13.441Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T22:11:13.441Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T22:11:13.441Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T22:11:13.441Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T22:11:13.441Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T22:11:13.441Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (20497.809 ms) ====== [2026-04-06T22:11:13.441Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-04-06T22:11:13.441Z] GC before operation: completed in 165.328 ms, heap usage 500.579 MB -> 88.908 MB. [2026-04-06T22:11:16.858Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T22:11:19.328Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T22:11:23.307Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T22:11:28.938Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T22:11:31.426Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T22:11:33.942Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T22:11:37.364Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T22:11:39.852Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T22:11:40.625Z] 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. [2026-04-06T22:11:40.625Z] The best model improves the baseline by 14.52%. [2026-04-06T22:11:40.625Z] Top recommended movies for user id 72: [2026-04-06T22:11:40.625Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T22:11:40.625Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T22:11:40.625Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T22:11:40.625Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T22:11:40.625Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T22:11:40.625Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (27376.768 ms) ====== [2026-04-06T22:11:40.625Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-04-06T22:11:40.625Z] GC before operation: completed in 300.832 ms, heap usage 101.091 MB -> 88.546 MB. [2026-04-06T22:11:46.283Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T22:11:53.173Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T22:12:00.083Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T22:12:05.800Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T22:12:09.234Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T22:12:13.706Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T22:12:17.171Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T22:12:21.651Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T22:12:22.428Z] 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. [2026-04-06T22:12:22.428Z] The best model improves the baseline by 14.52%. [2026-04-06T22:12:22.428Z] Top recommended movies for user id 72: [2026-04-06T22:12:22.428Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T22:12:22.428Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T22:12:22.428Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T22:12:22.428Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T22:12:22.428Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T22:12:22.428Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (41474.245 ms) ====== [2026-04-06T22:12:22.428Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-04-06T22:12:22.428Z] GC before operation: completed in 356.053 ms, heap usage 441.062 MB -> 89.117 MB. [2026-04-06T22:12:29.915Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T22:12:38.220Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T22:12:43.875Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T22:12:50.878Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T22:12:55.371Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T22:12:59.875Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T22:13:04.356Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T22:13:08.852Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T22:13:08.852Z] 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. [2026-04-06T22:13:08.852Z] The best model improves the baseline by 14.52%. [2026-04-06T22:13:09.624Z] Top recommended movies for user id 72: [2026-04-06T22:13:09.625Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T22:13:09.625Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T22:13:09.625Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T22:13:09.625Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T22:13:09.625Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T22:13:09.625Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (46560.986 ms) ====== [2026-04-06T22:13:09.625Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-04-06T22:13:09.625Z] GC before operation: completed in 325.251 ms, heap usage 298.744 MB -> 88.835 MB. [2026-04-06T22:13:16.540Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T22:13:23.407Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T22:13:30.282Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T22:13:34.780Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T22:13:37.266Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T22:13:40.725Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T22:13:43.722Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T22:13:47.137Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T22:13:47.137Z] 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. [2026-04-06T22:13:47.137Z] The best model improves the baseline by 14.52%. [2026-04-06T22:13:47.904Z] Top recommended movies for user id 72: [2026-04-06T22:13:47.904Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T22:13:47.904Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T22:13:47.904Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T22:13:47.904Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T22:13:47.904Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T22:13:47.904Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (37876.958 ms) ====== [2026-04-06T22:13:47.904Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-04-06T22:13:47.904Z] GC before operation: completed in 259.692 ms, heap usage 120.267 MB -> 88.828 MB. [2026-04-06T22:13:53.512Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T22:13:59.130Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T22:14:04.780Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T22:14:11.678Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T22:14:16.151Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T22:14:19.601Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T22:14:23.038Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T22:14:27.084Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T22:14:27.859Z] 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. [2026-04-06T22:14:27.859Z] The best model improves the baseline by 14.52%. [2026-04-06T22:14:27.859Z] Top recommended movies for user id 72: [2026-04-06T22:14:27.859Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T22:14:27.859Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T22:14:27.859Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T22:14:27.859Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T22:14:27.859Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T22:14:27.859Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (40339.110 ms) ====== [2026-04-06T22:14:27.859Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-04-06T22:14:28.639Z] GC before operation: completed in 387.274 ms, heap usage 212.602 MB -> 88.771 MB. [2026-04-06T22:14:35.671Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T22:14:41.303Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T22:14:46.936Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T22:14:52.602Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T22:14:57.077Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T22:15:00.611Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T22:15:04.039Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T22:15:10.066Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T22:15:10.066Z] 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. [2026-04-06T22:15:10.066Z] The best model improves the baseline by 14.52%. [2026-04-06T22:15:10.066Z] Top recommended movies for user id 72: [2026-04-06T22:15:10.066Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T22:15:10.066Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T22:15:10.066Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T22:15:10.066Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T22:15:10.066Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T22:15:10.066Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (39539.636 ms) ====== [2026-04-06T22:15:10.066Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-04-06T22:15:10.066Z] GC before operation: completed in 372.687 ms, heap usage 407.248 MB -> 89.359 MB. [2026-04-06T22:15:16.261Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T22:15:21.905Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T22:15:26.389Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T22:15:30.863Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T22:15:34.299Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T22:15:38.758Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T22:15:41.234Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T22:15:43.711Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T22:15:43.711Z] 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. [2026-04-06T22:15:43.711Z] The best model improves the baseline by 14.52%. [2026-04-06T22:15:43.711Z] Top recommended movies for user id 72: [2026-04-06T22:15:43.711Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T22:15:43.711Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T22:15:43.711Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T22:15:43.711Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T22:15:43.711Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T22:15:43.711Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (35479.468 ms) ====== [2026-04-06T22:15:43.711Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-04-06T22:15:44.494Z] GC before operation: completed in 204.099 ms, heap usage 431.156 MB -> 88.949 MB. [2026-04-06T22:15:49.011Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T22:15:53.498Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T22:15:59.120Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T22:16:03.834Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T22:16:06.370Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T22:16:09.821Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T22:16:12.401Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T22:16:14.897Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T22:16:15.678Z] 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. [2026-04-06T22:16:15.678Z] The best model improves the baseline by 14.52%. [2026-04-06T22:16:15.678Z] Top recommended movies for user id 72: [2026-04-06T22:16:15.678Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T22:16:15.678Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T22:16:15.678Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T22:16:15.678Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T22:16:15.678Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T22:16:15.678Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (31746.485 ms) ====== [2026-04-06T22:16:15.678Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-04-06T22:16:16.440Z] GC before operation: completed in 331.637 ms, heap usage 193.567 MB -> 88.806 MB. [2026-04-06T22:16:19.877Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-04-06T22:16:24.370Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-04-06T22:16:28.830Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-04-06T22:16:32.246Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-04-06T22:16:35.672Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-04-06T22:16:38.162Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-04-06T22:16:40.666Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-04-06T22:16:43.133Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-04-06T22:16:44.430Z] 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. [2026-04-06T22:16:44.430Z] The best model improves the baseline by 14.52%. [2026-04-06T22:16:44.430Z] Top recommended movies for user id 72: [2026-04-06T22:16:44.430Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-04-06T22:16:44.430Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-04-06T22:16:44.430Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-04-06T22:16:44.430Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-04-06T22:16:44.430Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-04-06T22:16:44.430Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (27776.269 ms) ====== [2026-04-06T22:16:45.199Z] ----------------------------------- [2026-04-06T22:16:45.199Z] renaissance-movie-lens_0_PASSED [2026-04-06T22:16:45.199Z] ----------------------------------- [2026-04-06T22:16:45.199Z] [2026-04-06T22:16:45.199Z] TEST TEARDOWN: [2026-04-06T22:16:45.199Z] Nothing to be done for teardown. [2026-04-06T22:16:45.199Z] renaissance-movie-lens_0 Finish Time: Mon Apr 6 22:16:44 2026 Epoch Time (ms): 1775513804141