[2025-08-25T22:04:37.296Z] Running test renaissance-movie-lens_0 ... [2025-08-25T22:04:37.296Z] =============================================== [2025-08-25T22:04:37.296Z] renaissance-movie-lens_0 Start Time: Mon Aug 25 22:04:36 2025 Epoch Time (ms): 1756159476131 [2025-08-25T22:04:37.296Z] variation: NoOptions [2025-08-25T22:04:37.296Z] JVM_OPTIONS: [2025-08-25T22:04:37.296Z] { \ [2025-08-25T22:04:37.296Z] echo ""; echo "TEST SETUP:"; \ [2025-08-25T22:04:37.296Z] echo "Nothing to be done for setup."; \ [2025-08-25T22:04:37.296Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17561569457495/renaissance-movie-lens_0"; \ [2025-08-25T22:04:37.296Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17561569457495/renaissance-movie-lens_0"; \ [2025-08-25T22:04:37.296Z] echo ""; echo "TESTING:"; \ [2025-08-25T22:04:37.296Z] "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_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_aarch64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17561569457495/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-08-25T22:04:37.296Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17561569457495/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-08-25T22:04:37.296Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-08-25T22:04:37.296Z] echo "Nothing to be done for teardown."; \ [2025-08-25T22:04:37.296Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17561569457495/TestTargetResult"; [2025-08-25T22:04:37.296Z] [2025-08-25T22:04:37.296Z] TEST SETUP: [2025-08-25T22:04:37.296Z] Nothing to be done for setup. [2025-08-25T22:04:37.296Z] [2025-08-25T22:04:37.296Z] TESTING: [2025-08-25T22:04:45.457Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-08-25T22:04:56.948Z] 22:04:56.390 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. [2025-08-25T22:05:01.092Z] Got 100004 ratings from 671 users on 9066 movies. [2025-08-25T22:05:01.092Z] Training: 60056, validation: 20285, test: 19854 [2025-08-25T22:05:01.092Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-08-25T22:05:02.043Z] GC before operation: completed in 198.444 ms, heap usage 159.389 MB -> 74.570 MB. [2025-08-25T22:05:13.565Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T22:05:20.263Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T22:05:25.637Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T22:05:30.591Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T22:05:33.596Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T22:05:36.599Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T22:05:39.604Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T22:05:42.611Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T22:05:43.561Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-08-25T22:05:43.561Z] The best model improves the baseline by 14.52%. [2025-08-25T22:05:43.561Z] Top recommended movies for user id 72: [2025-08-25T22:05:43.561Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-25T22:05:43.561Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-25T22:05:43.561Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-25T22:05:43.561Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-25T22:05:43.561Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-25T22:05:43.561Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (42275.735 ms) ====== [2025-08-25T22:05:43.561Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-08-25T22:05:44.509Z] GC before operation: completed in 247.866 ms, heap usage 257.978 MB -> 85.595 MB. [2025-08-25T22:05:49.866Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T22:05:54.009Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T22:05:59.362Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T22:06:03.501Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T22:06:06.511Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T22:06:08.461Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T22:06:11.464Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T22:06:14.544Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T22:06:15.513Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-08-25T22:06:15.513Z] The best model improves the baseline by 14.52%. [2025-08-25T22:06:15.513Z] Top recommended movies for user id 72: [2025-08-25T22:06:15.513Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-25T22:06:15.513Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-25T22:06:15.513Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-25T22:06:15.513Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-25T22:06:15.513Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-25T22:06:15.513Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (31224.125 ms) ====== [2025-08-25T22:06:15.513Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-08-25T22:06:15.513Z] GC before operation: completed in 235.787 ms, heap usage 118.467 MB -> 87.494 MB. [2025-08-25T22:06:19.674Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T22:06:24.588Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T22:06:29.954Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T22:06:34.102Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T22:06:37.148Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T22:06:40.154Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T22:06:43.156Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T22:06:46.169Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T22:06:46.169Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-08-25T22:06:46.169Z] The best model improves the baseline by 14.52%. [2025-08-25T22:06:46.169Z] Top recommended movies for user id 72: [2025-08-25T22:06:46.169Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-25T22:06:46.169Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-25T22:06:46.169Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-25T22:06:46.169Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-25T22:06:46.169Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-25T22:06:46.169Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (30852.793 ms) ====== [2025-08-25T22:06:46.169Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-08-25T22:06:47.123Z] GC before operation: completed in 238.310 ms, heap usage 252.512 MB -> 88.285 MB. [2025-08-25T22:06:51.263Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T22:06:55.397Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T22:07:00.749Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T22:07:04.890Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T22:07:06.838Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T22:07:09.854Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T22:07:12.877Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T22:07:16.059Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T22:07:16.059Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-08-25T22:07:16.059Z] The best model improves the baseline by 14.52%. [2025-08-25T22:07:16.059Z] Top recommended movies for user id 72: [2025-08-25T22:07:16.059Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-25T22:07:16.059Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-25T22:07:16.059Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-25T22:07:16.059Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-25T22:07:16.059Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-25T22:07:16.059Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (29439.193 ms) ====== [2025-08-25T22:07:16.059Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-08-25T22:07:16.059Z] GC before operation: completed in 230.248 ms, heap usage 165.818 MB -> 88.511 MB. [2025-08-25T22:07:20.895Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T22:07:25.030Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T22:07:30.468Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T22:07:33.647Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T22:07:36.661Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T22:07:39.670Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T22:07:42.679Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T22:07:44.628Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T22:07:45.584Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-08-25T22:07:45.584Z] The best model improves the baseline by 14.52%. [2025-08-25T22:07:45.584Z] Top recommended movies for user id 72: [2025-08-25T22:07:45.584Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-25T22:07:45.584Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-25T22:07:45.584Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-25T22:07:45.584Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-25T22:07:45.584Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-25T22:07:45.584Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (29531.150 ms) ====== [2025-08-25T22:07:45.584Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-08-25T22:07:46.530Z] GC before operation: completed in 216.279 ms, heap usage 268.081 MB -> 88.561 MB. [2025-08-25T22:07:50.668Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T22:07:54.806Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T22:07:58.973Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T22:08:03.135Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T22:08:06.153Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T22:08:08.109Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T22:08:11.151Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T22:08:14.169Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T22:08:14.169Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-08-25T22:08:14.169Z] The best model improves the baseline by 14.52%. [2025-08-25T22:08:14.169Z] Top recommended movies for user id 72: [2025-08-25T22:08:14.170Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-25T22:08:14.170Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-25T22:08:14.170Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-25T22:08:14.170Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-25T22:08:14.170Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-25T22:08:14.170Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (28326.397 ms) ====== [2025-08-25T22:08:14.170Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-08-25T22:08:15.830Z] GC before operation: completed in 225.882 ms, heap usage 247.388 MB -> 88.867 MB. [2025-08-25T22:08:18.837Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T22:08:22.967Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T22:08:27.106Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T22:08:31.293Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T22:08:34.304Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T22:08:37.310Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T22:08:39.258Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T22:08:42.336Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T22:08:42.336Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-08-25T22:08:42.336Z] The best model improves the baseline by 14.52%. [2025-08-25T22:08:43.281Z] Top recommended movies for user id 72: [2025-08-25T22:08:43.281Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-25T22:08:43.281Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-25T22:08:43.281Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-25T22:08:43.281Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-25T22:08:43.281Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-25T22:08:43.281Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (28277.478 ms) ====== [2025-08-25T22:08:43.281Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-08-25T22:08:43.281Z] GC before operation: completed in 225.618 ms, heap usage 294.684 MB -> 88.905 MB. [2025-08-25T22:08:47.424Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T22:08:51.573Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T22:08:55.712Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T22:08:59.843Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T22:09:02.844Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T22:09:04.789Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T22:09:07.787Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T22:09:10.423Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T22:09:10.423Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-08-25T22:09:10.423Z] The best model improves the baseline by 14.52%. [2025-08-25T22:09:11.379Z] Top recommended movies for user id 72: [2025-08-25T22:09:11.379Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-25T22:09:11.379Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-25T22:09:11.379Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-25T22:09:11.379Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-25T22:09:11.379Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-25T22:09:11.379Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (27869.730 ms) ====== [2025-08-25T22:09:11.379Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-08-25T22:09:11.379Z] GC before operation: completed in 236.655 ms, heap usage 115.773 MB -> 88.855 MB. [2025-08-25T22:09:15.516Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T22:09:19.653Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T22:09:22.660Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T22:09:26.793Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T22:09:29.806Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T22:09:31.751Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T22:09:34.790Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T22:09:36.740Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T22:09:37.697Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-08-25T22:09:37.697Z] The best model improves the baseline by 14.52%. [2025-08-25T22:09:37.697Z] Top recommended movies for user id 72: [2025-08-25T22:09:37.697Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-25T22:09:37.697Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-25T22:09:37.697Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-25T22:09:37.697Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-25T22:09:37.697Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-25T22:09:37.697Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (26515.803 ms) ====== [2025-08-25T22:09:37.697Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-08-25T22:09:37.697Z] GC before operation: completed in 255.147 ms, heap usage 460.667 MB -> 89.146 MB. [2025-08-25T22:09:41.833Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T22:09:46.033Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T22:09:51.396Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T22:09:55.531Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T22:09:57.478Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T22:10:00.484Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T22:10:02.435Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T22:10:05.101Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T22:10:06.053Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-08-25T22:10:06.053Z] The best model improves the baseline by 14.52%. [2025-08-25T22:10:06.053Z] Top recommended movies for user id 72: [2025-08-25T22:10:06.053Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-25T22:10:06.053Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-25T22:10:06.053Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-25T22:10:06.053Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-25T22:10:06.053Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-25T22:10:06.053Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (27995.152 ms) ====== [2025-08-25T22:10:06.053Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-08-25T22:10:06.053Z] GC before operation: completed in 226.706 ms, heap usage 196.792 MB -> 88.996 MB. [2025-08-25T22:10:10.187Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T22:10:14.320Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T22:10:18.566Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T22:10:22.705Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T22:10:25.763Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T22:10:27.712Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T22:10:30.718Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T22:10:33.725Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T22:10:33.726Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-08-25T22:10:33.726Z] The best model improves the baseline by 14.52%. [2025-08-25T22:10:34.677Z] Top recommended movies for user id 72: [2025-08-25T22:10:34.677Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-25T22:10:34.677Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-25T22:10:34.677Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-25T22:10:34.677Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-25T22:10:34.677Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-25T22:10:34.677Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (27885.798 ms) ====== [2025-08-25T22:10:34.677Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-08-25T22:10:34.677Z] GC before operation: completed in 227.471 ms, heap usage 206.375 MB -> 88.750 MB. [2025-08-25T22:10:38.817Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T22:10:42.962Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T22:10:47.102Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T22:10:51.240Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T22:10:54.251Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T22:10:57.251Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T22:10:59.205Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T22:11:01.839Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T22:11:02.786Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-08-25T22:11:02.786Z] The best model improves the baseline by 14.52%. [2025-08-25T22:11:02.786Z] Top recommended movies for user id 72: [2025-08-25T22:11:02.786Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-25T22:11:02.786Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-25T22:11:02.786Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-25T22:11:02.786Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-25T22:11:02.786Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-25T22:11:02.786Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (28176.076 ms) ====== [2025-08-25T22:11:02.786Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-08-25T22:11:02.786Z] GC before operation: completed in 210.967 ms, heap usage 115.875 MB -> 88.872 MB. [2025-08-25T22:11:06.946Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T22:11:11.142Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T22:11:15.348Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T22:11:19.492Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T22:11:22.503Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T22:11:25.515Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T22:11:27.462Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T22:11:30.465Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T22:11:30.465Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-08-25T22:11:31.415Z] The best model improves the baseline by 14.52%. [2025-08-25T22:11:31.415Z] Top recommended movies for user id 72: [2025-08-25T22:11:31.415Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-25T22:11:31.415Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-25T22:11:31.415Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-25T22:11:31.415Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-25T22:11:31.415Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-25T22:11:31.415Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (28417.296 ms) ====== [2025-08-25T22:11:31.415Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-08-25T22:11:31.415Z] GC before operation: completed in 230.860 ms, heap usage 241.870 MB -> 89.072 MB. [2025-08-25T22:11:35.549Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T22:11:39.689Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T22:11:43.827Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T22:11:48.500Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T22:11:50.448Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T22:11:53.453Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T22:12:01.194Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T22:12:01.194Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T22:12:01.194Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-08-25T22:12:01.194Z] The best model improves the baseline by 14.52%. [2025-08-25T22:12:01.194Z] Top recommended movies for user id 72: [2025-08-25T22:12:01.195Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-25T22:12:01.195Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-25T22:12:01.195Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-25T22:12:01.195Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-25T22:12:01.195Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-25T22:12:01.195Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (27599.596 ms) ====== [2025-08-25T22:12:01.195Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-08-25T22:12:01.195Z] GC before operation: completed in 223.271 ms, heap usage 166.995 MB -> 88.868 MB. [2025-08-25T22:12:03.369Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T22:12:07.504Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T22:12:11.633Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T22:12:15.771Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T22:12:18.777Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T22:12:20.727Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T22:12:23.727Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T22:12:26.737Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T22:12:26.737Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-08-25T22:12:26.737Z] The best model improves the baseline by 14.52%. [2025-08-25T22:12:26.737Z] Top recommended movies for user id 72: [2025-08-25T22:12:26.737Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-25T22:12:26.737Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-25T22:12:26.737Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-25T22:12:26.737Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-25T22:12:26.737Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-25T22:12:26.737Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (27652.640 ms) ====== [2025-08-25T22:12:26.737Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-08-25T22:12:26.737Z] GC before operation: completed in 212.578 ms, heap usage 204.469 MB -> 89.092 MB. [2025-08-25T22:12:30.871Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T22:12:35.175Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T22:12:40.526Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T22:12:43.551Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T22:12:46.559Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T22:12:49.561Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T22:12:52.577Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T22:12:54.707Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T22:12:56.352Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-08-25T22:12:56.352Z] The best model improves the baseline by 14.52%. [2025-08-25T22:12:56.352Z] Top recommended movies for user id 72: [2025-08-25T22:12:56.352Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-25T22:12:56.352Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-25T22:12:56.352Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-25T22:12:56.352Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-25T22:12:56.352Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-25T22:12:56.352Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (28177.960 ms) ====== [2025-08-25T22:12:56.352Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-08-25T22:12:56.352Z] GC before operation: completed in 252.517 ms, heap usage 179.056 MB -> 88.945 MB. [2025-08-25T22:12:59.353Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T22:13:03.480Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T22:13:07.614Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T22:13:11.746Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T22:13:14.747Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T22:13:16.692Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T22:13:19.689Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T22:13:21.641Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T22:13:22.591Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-08-25T22:13:22.591Z] The best model improves the baseline by 14.52%. [2025-08-25T22:13:22.591Z] Top recommended movies for user id 72: [2025-08-25T22:13:22.591Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-25T22:13:22.591Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-25T22:13:22.591Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-25T22:13:22.591Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-25T22:13:22.591Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-25T22:13:22.591Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (27176.910 ms) ====== [2025-08-25T22:13:22.591Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-08-25T22:13:22.591Z] GC before operation: completed in 222.948 ms, heap usage 199.672 MB -> 89.033 MB. [2025-08-25T22:13:26.725Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T22:13:30.859Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T22:13:36.198Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T22:13:40.328Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T22:13:42.268Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T22:13:45.265Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T22:13:48.270Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T22:13:51.093Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T22:13:51.093Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-08-25T22:13:51.093Z] The best model improves the baseline by 14.52%. [2025-08-25T22:13:51.093Z] Top recommended movies for user id 72: [2025-08-25T22:13:51.093Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-25T22:13:51.093Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-25T22:13:51.093Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-25T22:13:51.093Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-25T22:13:51.093Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-25T22:13:51.093Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (28093.162 ms) ====== [2025-08-25T22:13:51.093Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-08-25T22:13:51.093Z] GC before operation: completed in 222.469 ms, heap usage 165.761 MB -> 88.850 MB. [2025-08-25T22:13:55.226Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T22:13:59.363Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T22:14:03.491Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T22:14:07.623Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T22:14:10.631Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T22:14:12.576Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T22:14:15.592Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T22:14:17.541Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T22:14:18.497Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-08-25T22:14:18.497Z] The best model improves the baseline by 14.52%. [2025-08-25T22:14:18.497Z] Top recommended movies for user id 72: [2025-08-25T22:14:18.497Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-25T22:14:18.497Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-25T22:14:18.497Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-25T22:14:18.497Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-25T22:14:18.497Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-25T22:14:18.497Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (27116.021 ms) ====== [2025-08-25T22:14:18.497Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-08-25T22:14:18.497Z] GC before operation: completed in 236.928 ms, heap usage 219.894 MB -> 88.966 MB. [2025-08-25T22:14:22.644Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T22:14:26.784Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T22:14:30.919Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T22:14:33.922Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T22:14:36.942Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T22:14:39.940Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T22:14:41.887Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T22:14:45.593Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T22:14:45.593Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-08-25T22:14:45.593Z] The best model improves the baseline by 14.52%. [2025-08-25T22:14:45.593Z] Top recommended movies for user id 72: [2025-08-25T22:14:45.593Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-25T22:14:45.593Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-25T22:14:45.593Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-25T22:14:45.593Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-25T22:14:45.593Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-25T22:14:45.593Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (26759.561 ms) ====== [2025-08-25T22:14:46.543Z] ----------------------------------- [2025-08-25T22:14:46.544Z] renaissance-movie-lens_0_PASSED [2025-08-25T22:14:46.544Z] ----------------------------------- [2025-08-25T22:14:46.544Z] [2025-08-25T22:14:46.544Z] TEST TEARDOWN: [2025-08-25T22:14:46.544Z] Nothing to be done for teardown. [2025-08-25T22:14:46.544Z] renaissance-movie-lens_0 Finish Time: Mon Aug 25 22:14:46 2025 Epoch Time (ms): 1756160086137