[2025-06-19T22:03:58.443Z] Running test renaissance-movie-lens_0 ... [2025-06-19T22:03:58.443Z] =============================================== [2025-06-19T22:03:58.443Z] renaissance-movie-lens_0 Start Time: Thu Jun 19 22:03:57 2025 Epoch Time (ms): 1750370637768 [2025-06-19T22:03:58.443Z] variation: NoOptions [2025-06-19T22:03:58.443Z] JVM_OPTIONS: [2025-06-19T22:03:58.443Z] { \ [2025-06-19T22:03:58.443Z] echo ""; echo "TEST SETUP:"; \ [2025-06-19T22:03:58.443Z] echo "Nothing to be done for setup."; \ [2025-06-19T22:03:58.443Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17503690915027/renaissance-movie-lens_0"; \ [2025-06-19T22:03:58.443Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17503690915027/renaissance-movie-lens_0"; \ [2025-06-19T22:03:58.443Z] echo ""; echo "TESTING:"; \ [2025-06-19T22:03:58.443Z] "/home/jenkins/workspace/Test_openjdk25_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_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17503690915027/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-06-19T22:03:58.443Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17503690915027/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-06-19T22:03:58.443Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-06-19T22:03:58.443Z] echo "Nothing to be done for teardown."; \ [2025-06-19T22:03:58.443Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17503690915027/TestTargetResult"; [2025-06-19T22:03:58.443Z] [2025-06-19T22:03:58.443Z] TEST SETUP: [2025-06-19T22:03:58.443Z] Nothing to be done for setup. [2025-06-19T22:03:58.443Z] [2025-06-19T22:03:58.443Z] TESTING: [2025-06-19T22:03:58.811Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2025-06-19T22:03:58.811Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_linux/aqa-tests/TKG/output_17503690915027/renaissance-movie-lens_0/launcher-220357-9897373626581779725/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2025-06-19T22:03:58.811Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2025-06-19T22:03:58.811Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2025-06-19T22:04:06.467Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-06-19T22:04:15.859Z] 22:04:15.068 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. [2025-06-19T22:04:18.548Z] Got 100004 ratings from 671 users on 9066 movies. [2025-06-19T22:04:18.928Z] Training: 60056, validation: 20285, test: 19854 [2025-06-19T22:04:18.928Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-06-19T22:04:18.928Z] GC before operation: completed in 162.772 ms, heap usage 312.233 MB -> 75.804 MB. [2025-06-19T22:04:28.560Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T22:04:33.724Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T22:04:37.849Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T22:04:41.980Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T22:04:43.857Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T22:04:46.354Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T22:04:48.817Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T22:04:51.468Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T22:04:51.468Z] 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. [2025-06-19T22:04:51.849Z] The best model improves the baseline by 14.52%. [2025-06-19T22:04:51.849Z] Top recommended movies for user id 72: [2025-06-19T22:04:51.849Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-19T22:04:51.849Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-19T22:04:51.849Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-19T22:04:51.849Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-19T22:04:51.849Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-19T22:04:51.849Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (32921.745 ms) ====== [2025-06-19T22:04:51.849Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-06-19T22:04:52.239Z] GC before operation: completed in 161.135 ms, heap usage 154.164 MB -> 86.187 MB. [2025-06-19T22:04:56.390Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T22:04:59.619Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T22:05:03.768Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T22:05:06.980Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T22:05:08.860Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T22:05:10.715Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T22:05:13.225Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T22:05:15.167Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T22:05:15.168Z] 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. [2025-06-19T22:05:15.168Z] The best model improves the baseline by 14.52%. [2025-06-19T22:05:15.540Z] Top recommended movies for user id 72: [2025-06-19T22:05:15.540Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-19T22:05:15.540Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-19T22:05:15.540Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-19T22:05:15.540Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-19T22:05:15.540Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-19T22:05:15.540Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (23253.609 ms) ====== [2025-06-19T22:05:15.540Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-06-19T22:05:15.540Z] GC before operation: completed in 150.363 ms, heap usage 433.823 MB -> 88.754 MB. [2025-06-19T22:05:19.661Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T22:05:22.155Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T22:05:25.419Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T22:05:28.706Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T22:05:30.576Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T22:05:32.385Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T22:05:34.299Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T22:05:36.780Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T22:05:36.780Z] 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. [2025-06-19T22:05:36.780Z] The best model improves the baseline by 14.52%. [2025-06-19T22:05:36.780Z] Top recommended movies for user id 72: [2025-06-19T22:05:36.780Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-19T22:05:36.780Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-19T22:05:36.780Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-19T22:05:36.780Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-19T22:05:36.780Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-19T22:05:36.780Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (21352.521 ms) ====== [2025-06-19T22:05:36.780Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-06-19T22:05:37.147Z] GC before operation: completed in 144.142 ms, heap usage 396.080 MB -> 89.424 MB. [2025-06-19T22:05:40.385Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T22:05:43.629Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T22:05:46.238Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T22:05:49.447Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T22:05:51.933Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T22:05:53.323Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T22:05:55.837Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T22:05:57.152Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T22:05:57.540Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-19T22:05:57.540Z] The best model improves the baseline by 14.52%. [2025-06-19T22:05:57.908Z] Top recommended movies for user id 72: [2025-06-19T22:05:57.908Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-19T22:05:57.908Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-19T22:05:57.908Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-19T22:05:57.908Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-19T22:05:57.908Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-19T22:05:57.908Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (20854.440 ms) ====== [2025-06-19T22:05:57.908Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-06-19T22:05:58.282Z] GC before operation: completed in 165.573 ms, heap usage 291.474 MB -> 89.504 MB. [2025-06-19T22:06:01.474Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T22:06:04.693Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T22:06:07.997Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T22:06:11.229Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T22:06:13.091Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T22:06:15.600Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T22:06:17.431Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T22:06:19.908Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T22:06:19.908Z] 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. [2025-06-19T22:06:19.908Z] The best model improves the baseline by 14.52%. [2025-06-19T22:06:20.275Z] Top recommended movies for user id 72: [2025-06-19T22:06:20.275Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-19T22:06:20.275Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-19T22:06:20.275Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-19T22:06:20.275Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-19T22:06:20.275Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-19T22:06:20.275Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (21982.652 ms) ====== [2025-06-19T22:06:20.275Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-06-19T22:06:20.275Z] GC before operation: completed in 156.578 ms, heap usage 186.267 MB -> 89.340 MB. [2025-06-19T22:06:23.576Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T22:06:26.796Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T22:06:30.018Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T22:06:33.232Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T22:06:34.532Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T22:06:36.424Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T22:06:38.261Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T22:06:40.139Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T22:06:40.139Z] 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. [2025-06-19T22:06:40.139Z] The best model improves the baseline by 14.52%. [2025-06-19T22:06:40.509Z] Top recommended movies for user id 72: [2025-06-19T22:06:40.510Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-19T22:06:40.510Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-19T22:06:40.510Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-19T22:06:40.510Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-19T22:06:40.510Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-19T22:06:40.510Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (20182.934 ms) ====== [2025-06-19T22:06:40.510Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-06-19T22:06:40.510Z] GC before operation: completed in 148.692 ms, heap usage 258.057 MB -> 89.731 MB. [2025-06-19T22:06:43.738Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T22:06:46.977Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T22:06:50.207Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T22:06:52.697Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T22:06:54.535Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T22:06:56.409Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T22:06:58.893Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T22:07:00.773Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T22:07:00.773Z] 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. [2025-06-19T22:07:00.774Z] The best model improves the baseline by 14.52%. [2025-06-19T22:07:00.774Z] Top recommended movies for user id 72: [2025-06-19T22:07:00.774Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-19T22:07:00.774Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-19T22:07:00.774Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-19T22:07:00.774Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-19T22:07:00.774Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-19T22:07:00.774Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (20319.599 ms) ====== [2025-06-19T22:07:00.774Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-06-19T22:07:01.149Z] GC before operation: completed in 151.202 ms, heap usage 399.680 MB -> 89.871 MB. [2025-06-19T22:07:03.698Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T22:07:06.933Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T22:07:10.158Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T22:07:13.368Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T22:07:14.666Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T22:07:16.518Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T22:07:19.031Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T22:07:20.317Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T22:07:20.684Z] 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. [2025-06-19T22:07:20.684Z] The best model improves the baseline by 14.52%. [2025-06-19T22:07:21.052Z] Top recommended movies for user id 72: [2025-06-19T22:07:21.052Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-19T22:07:21.052Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-19T22:07:21.052Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-19T22:07:21.052Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-19T22:07:21.052Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-19T22:07:21.052Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (19996.428 ms) ====== [2025-06-19T22:07:21.052Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-06-19T22:07:21.052Z] GC before operation: completed in 150.575 ms, heap usage 292.832 MB -> 90.048 MB. [2025-06-19T22:07:24.277Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T22:07:27.507Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T22:07:30.869Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T22:07:33.356Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T22:07:35.218Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T22:07:37.059Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T22:07:38.916Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T22:07:40.737Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T22:07:41.110Z] 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. [2025-06-19T22:07:41.110Z] The best model improves the baseline by 14.52%. [2025-06-19T22:07:41.110Z] Top recommended movies for user id 72: [2025-06-19T22:07:41.110Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-19T22:07:41.110Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-19T22:07:41.110Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-19T22:07:41.110Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-19T22:07:41.110Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-19T22:07:41.110Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (20036.341 ms) ====== [2025-06-19T22:07:41.110Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-06-19T22:07:41.479Z] GC before operation: completed in 150.058 ms, heap usage 192.887 MB -> 89.728 MB. [2025-06-19T22:07:44.772Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T22:07:47.245Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T22:07:50.531Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T22:07:53.074Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T22:07:54.333Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T22:07:56.195Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T22:07:58.049Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T22:07:59.367Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T22:07:59.741Z] 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. [2025-06-19T22:07:59.741Z] The best model improves the baseline by 14.52%. [2025-06-19T22:08:00.107Z] Top recommended movies for user id 72: [2025-06-19T22:08:00.107Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-19T22:08:00.107Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-19T22:08:00.107Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-19T22:08:00.107Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-19T22:08:00.107Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-19T22:08:00.107Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (18678.108 ms) ====== [2025-06-19T22:08:00.107Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-06-19T22:08:00.107Z] GC before operation: completed in 148.712 ms, heap usage 118.080 MB -> 92.980 MB. [2025-06-19T22:08:03.386Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T22:08:05.910Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T22:08:09.163Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T22:08:11.655Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T22:08:12.977Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T22:08:14.799Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T22:08:16.680Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T22:08:18.519Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T22:08:18.999Z] 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. [2025-06-19T22:08:18.999Z] The best model improves the baseline by 14.52%. [2025-06-19T22:08:19.381Z] Top recommended movies for user id 72: [2025-06-19T22:08:19.381Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-19T22:08:19.381Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-19T22:08:19.381Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-19T22:08:19.381Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-19T22:08:19.381Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-19T22:08:19.381Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (18990.657 ms) ====== [2025-06-19T22:08:19.381Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-06-19T22:08:19.381Z] GC before operation: completed in 162.101 ms, heap usage 298.341 MB -> 89.776 MB. [2025-06-19T22:08:22.627Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T22:08:25.182Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T22:08:28.419Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T22:08:30.887Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T22:08:32.718Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T22:08:35.193Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T22:08:37.039Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T22:08:38.889Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T22:08:38.889Z] 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. [2025-06-19T22:08:38.889Z] The best model improves the baseline by 14.52%. [2025-06-19T22:08:39.259Z] Top recommended movies for user id 72: [2025-06-19T22:08:39.259Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-19T22:08:39.259Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-19T22:08:39.259Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-19T22:08:39.259Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-19T22:08:39.259Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-19T22:08:39.259Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (19709.960 ms) ====== [2025-06-19T22:08:39.259Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-06-19T22:08:39.259Z] GC before operation: completed in 149.032 ms, heap usage 518.511 MB -> 90.302 MB. [2025-06-19T22:08:42.499Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T22:08:45.038Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T22:08:48.471Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T22:08:50.944Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T22:08:52.797Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T22:08:55.296Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T22:08:56.570Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T22:08:58.418Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T22:08:58.786Z] 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. [2025-06-19T22:08:58.786Z] The best model improves the baseline by 14.52%. [2025-06-19T22:08:59.155Z] Top recommended movies for user id 72: [2025-06-19T22:08:59.155Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-19T22:08:59.155Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-19T22:08:59.155Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-19T22:08:59.155Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-19T22:08:59.155Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-19T22:08:59.155Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (19863.014 ms) ====== [2025-06-19T22:08:59.155Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-06-19T22:08:59.155Z] GC before operation: completed in 147.560 ms, heap usage 498.053 MB -> 90.395 MB. [2025-06-19T22:09:02.398Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T22:09:04.865Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T22:09:08.089Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T22:09:10.570Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T22:09:12.477Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T22:09:13.823Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T22:09:15.648Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T22:09:17.539Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T22:09:17.539Z] 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. [2025-06-19T22:09:17.539Z] The best model improves the baseline by 14.52%. [2025-06-19T22:09:17.539Z] Top recommended movies for user id 72: [2025-06-19T22:09:17.539Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-19T22:09:17.539Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-19T22:09:17.539Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-19T22:09:17.539Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-19T22:09:17.539Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-19T22:09:17.539Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (18415.084 ms) ====== [2025-06-19T22:09:17.539Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-06-19T22:09:17.930Z] GC before operation: completed in 146.382 ms, heap usage 536.462 MB -> 90.213 MB. [2025-06-19T22:09:21.196Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T22:09:23.729Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T22:09:26.996Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T22:09:29.505Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T22:09:31.357Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T22:09:33.227Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T22:09:35.159Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T22:09:37.065Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T22:09:37.065Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-06-19T22:09:37.065Z] The best model improves the baseline by 14.52%. [2025-06-19T22:09:37.065Z] Top recommended movies for user id 72: [2025-06-19T22:09:37.065Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-19T22:09:37.065Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-19T22:09:37.065Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-19T22:09:37.065Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-19T22:09:37.065Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-19T22:09:37.065Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (19436.856 ms) ====== [2025-06-19T22:09:37.065Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-06-19T22:09:37.456Z] GC before operation: completed in 156.072 ms, heap usage 411.378 MB -> 90.301 MB. [2025-06-19T22:09:40.680Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T22:09:43.238Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T22:09:46.479Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T22:09:48.965Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T22:09:50.247Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T22:09:52.067Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T22:09:53.910Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T22:09:55.210Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T22:09:55.577Z] 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. [2025-06-19T22:09:55.577Z] The best model improves the baseline by 14.52%. [2025-06-19T22:09:55.969Z] Top recommended movies for user id 72: [2025-06-19T22:09:55.969Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-19T22:09:55.969Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-19T22:09:55.969Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-19T22:09:55.969Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-19T22:09:55.969Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-19T22:09:55.969Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (18443.935 ms) ====== [2025-06-19T22:09:55.969Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-06-19T22:09:55.969Z] GC before operation: completed in 147.813 ms, heap usage 227.557 MB -> 89.852 MB. [2025-06-19T22:09:59.326Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T22:10:01.895Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T22:10:04.423Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T22:10:06.885Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T22:10:08.726Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T22:10:10.590Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T22:10:12.450Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T22:10:13.750Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T22:10:14.125Z] 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. [2025-06-19T22:10:14.125Z] The best model improves the baseline by 14.52%. [2025-06-19T22:10:14.492Z] Top recommended movies for user id 72: [2025-06-19T22:10:14.492Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-19T22:10:14.492Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-19T22:10:14.492Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-19T22:10:14.492Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-19T22:10:14.492Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-19T22:10:14.492Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (18531.160 ms) ====== [2025-06-19T22:10:14.492Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-06-19T22:10:14.871Z] GC before operation: completed in 156.641 ms, heap usage 101.224 MB -> 89.940 MB. [2025-06-19T22:10:18.067Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T22:10:20.604Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T22:10:23.877Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T22:10:26.403Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T22:10:27.872Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T22:10:29.753Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T22:10:31.609Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T22:10:33.478Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T22:10:33.913Z] 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. [2025-06-19T22:10:33.913Z] The best model improves the baseline by 14.52%. [2025-06-19T22:10:34.290Z] Top recommended movies for user id 72: [2025-06-19T22:10:34.290Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-19T22:10:34.290Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-19T22:10:34.290Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-19T22:10:34.290Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-19T22:10:34.290Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-19T22:10:34.290Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (19460.747 ms) ====== [2025-06-19T22:10:34.290Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-06-19T22:10:34.290Z] GC before operation: completed in 144.227 ms, heap usage 535.050 MB -> 90.257 MB. [2025-06-19T22:10:37.507Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T22:10:40.006Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T22:10:43.237Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T22:10:45.697Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T22:10:47.536Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T22:10:49.358Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T22:10:51.187Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T22:10:53.040Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T22:10:53.406Z] 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. [2025-06-19T22:10:53.406Z] The best model improves the baseline by 14.52%. [2025-06-19T22:10:53.774Z] Top recommended movies for user id 72: [2025-06-19T22:10:53.774Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-19T22:10:53.774Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-19T22:10:53.774Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-19T22:10:53.774Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-19T22:10:53.774Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-19T22:10:53.774Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (19398.055 ms) ====== [2025-06-19T22:10:53.774Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-06-19T22:10:53.774Z] GC before operation: completed in 154.756 ms, heap usage 332.378 MB -> 90.016 MB. [2025-06-19T22:10:57.122Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-19T22:10:59.591Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-19T22:11:02.855Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-19T22:11:05.304Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-19T22:11:07.196Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-19T22:11:09.021Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-19T22:11:10.880Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-19T22:11:12.762Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-19T22:11:13.140Z] 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. [2025-06-19T22:11:13.140Z] The best model improves the baseline by 14.52%. [2025-06-19T22:11:13.140Z] Top recommended movies for user id 72: [2025-06-19T22:11:13.140Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-19T22:11:13.140Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-19T22:11:13.140Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-19T22:11:13.140Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-19T22:11:13.140Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-19T22:11:13.140Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (19444.103 ms) ====== [2025-06-19T22:11:13.924Z] ----------------------------------- [2025-06-19T22:11:13.924Z] renaissance-movie-lens_0_PASSED [2025-06-19T22:11:13.924Z] ----------------------------------- [2025-06-19T22:11:13.924Z] [2025-06-19T22:11:13.924Z] TEST TEARDOWN: [2025-06-19T22:11:13.924Z] Nothing to be done for teardown. [2025-06-19T22:11:13.924Z] renaissance-movie-lens_0 Finish Time: Thu Jun 19 22:11:13 2025 Epoch Time (ms): 1750371073732