[2025-06-27T06:37:04.503Z] Running test renaissance-movie-lens_0 ... [2025-06-27T06:37:04.503Z] =============================================== [2025-06-27T06:37:04.503Z] renaissance-movie-lens_0 Start Time: Fri Jun 27 06:37:02 2025 Epoch Time (ms): 1751006222669 [2025-06-27T06:37:04.503Z] variation: NoOptions [2025-06-27T06:37:04.503Z] JVM_OPTIONS: [2025-06-27T06:37:04.503Z] { \ [2025-06-27T06:37:04.503Z] echo ""; echo "TEST SETUP:"; \ [2025-06-27T06:37:04.503Z] echo "Nothing to be done for setup."; \ [2025-06-27T06:37:04.503Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17509993728803/renaissance-movie-lens_0"; \ [2025-06-27T06:37:04.503Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17509993728803/renaissance-movie-lens_0"; \ [2025-06-27T06:37:04.503Z] echo ""; echo "TESTING:"; \ [2025-06-27T06:37:04.503Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17509993728803/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-06-27T06:37:04.503Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17509993728803/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-06-27T06:37:04.503Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-06-27T06:37:04.503Z] echo "Nothing to be done for teardown."; \ [2025-06-27T06:37:04.503Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17509993728803/TestTargetResult"; [2025-06-27T06:37:04.503Z] [2025-06-27T06:37:04.503Z] TEST SETUP: [2025-06-27T06:37:04.503Z] Nothing to be done for setup. [2025-06-27T06:37:04.503Z] [2025-06-27T06:37:04.503Z] TESTING: [2025-06-27T06:37:05.339Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2025-06-27T06:37:05.339Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/output_17509993728803/renaissance-movie-lens_0/launcher-063703-15488707769157968752/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2025-06-27T06:37:05.339Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2025-06-27T06:37:05.339Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2025-06-27T06:37:31.267Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-06-27T06:38:12.779Z] 06:38:09.822 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. [2025-06-27T06:38:26.770Z] Got 100004 ratings from 671 users on 9066 movies. [2025-06-27T06:38:30.216Z] Training: 60056, validation: 20285, test: 19854 [2025-06-27T06:38:30.216Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-06-27T06:38:30.963Z] GC before operation: completed in 1200.227 ms, heap usage 220.070 MB -> 75.852 MB. [2025-06-27T06:39:19.785Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T06:39:43.089Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T06:40:08.912Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T06:40:27.712Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T06:40:39.395Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T06:40:49.922Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T06:41:01.637Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T06:41:11.425Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T06:41:12.988Z] 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. [2025-06-27T06:41:12.988Z] The best model improves the baseline by 14.52%. [2025-06-27T06:41:14.571Z] Top recommended movies for user id 72: [2025-06-27T06:41:14.571Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-27T06:41:14.571Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-27T06:41:14.571Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-27T06:41:14.571Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-27T06:41:14.571Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-27T06:41:14.571Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (163665.443 ms) ====== [2025-06-27T06:41:14.571Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-06-27T06:41:15.358Z] GC before operation: completed in 979.786 ms, heap usage 253.909 MB -> 91.505 MB. [2025-06-27T06:41:33.916Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T06:41:50.326Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T06:42:13.730Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T06:42:34.836Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T06:42:38.387Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T06:42:52.314Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T06:43:02.800Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T06:43:14.394Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T06:43:15.956Z] 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. [2025-06-27T06:43:15.956Z] The best model improves the baseline by 14.52%. [2025-06-27T06:43:16.709Z] Top recommended movies for user id 72: [2025-06-27T06:43:16.709Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-27T06:43:16.709Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-27T06:43:16.709Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-27T06:43:16.709Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-27T06:43:16.709Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-27T06:43:16.709Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (121238.998 ms) ====== [2025-06-27T06:43:16.709Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-06-27T06:43:17.474Z] GC before operation: completed in 926.229 ms, heap usage 390.159 MB -> 88.696 MB. [2025-06-27T06:43:39.934Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T06:43:56.365Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T06:44:19.369Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T06:44:33.754Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T06:44:46.143Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T06:44:58.354Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T06:45:10.489Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T06:45:21.019Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T06:45:22.740Z] 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. [2025-06-27T06:45:22.740Z] The best model improves the baseline by 14.52%. [2025-06-27T06:45:23.568Z] Top recommended movies for user id 72: [2025-06-27T06:45:23.568Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-27T06:45:23.568Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-27T06:45:23.568Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-27T06:45:23.568Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-27T06:45:23.568Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-27T06:45:23.568Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (125970.534 ms) ====== [2025-06-27T06:45:23.568Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-06-27T06:45:24.390Z] GC before operation: completed in 858.918 ms, heap usage 364.777 MB -> 89.350 MB. [2025-06-27T06:45:43.947Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T06:46:00.684Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T06:46:20.339Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T06:46:40.342Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T06:46:50.431Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T06:46:58.737Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T06:47:10.643Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T06:47:19.146Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T06:47:20.788Z] 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. [2025-06-27T06:47:20.788Z] The best model improves the baseline by 14.52%. [2025-06-27T06:47:22.167Z] Top recommended movies for user id 72: [2025-06-27T06:47:22.167Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-27T06:47:22.167Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-27T06:47:22.167Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-27T06:47:22.167Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-27T06:47:22.167Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-27T06:47:22.167Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (116994.819 ms) ====== [2025-06-27T06:47:22.167Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-06-27T06:47:22.943Z] GC before operation: completed in 1036.608 ms, heap usage 631.746 MB -> 93.226 MB. [2025-06-27T06:47:39.197Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T06:47:55.357Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T06:48:14.229Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T06:48:28.581Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T06:48:40.283Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T06:48:51.993Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T06:49:01.786Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T06:49:11.697Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T06:49:13.325Z] 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. [2025-06-27T06:49:13.325Z] The best model improves the baseline by 14.52%. [2025-06-27T06:49:14.124Z] Top recommended movies for user id 72: [2025-06-27T06:49:14.124Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-27T06:49:14.124Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-27T06:49:14.124Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-27T06:49:14.124Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-27T06:49:14.124Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-27T06:49:14.124Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (111529.159 ms) ====== [2025-06-27T06:49:14.124Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-06-27T06:49:14.892Z] GC before operation: completed in 902.865 ms, heap usage 367.199 MB -> 89.671 MB. [2025-06-27T06:49:34.372Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T06:49:50.547Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T06:50:09.396Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T06:50:26.237Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T06:50:34.690Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T06:50:46.648Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T06:51:00.850Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T06:51:11.080Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T06:51:12.719Z] 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. [2025-06-27T06:51:13.526Z] The best model improves the baseline by 14.52%. [2025-06-27T06:51:14.336Z] Top recommended movies for user id 72: [2025-06-27T06:51:14.336Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-27T06:51:14.336Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-27T06:51:14.336Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-27T06:51:14.336Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-27T06:51:14.336Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-27T06:51:14.336Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (119455.337 ms) ====== [2025-06-27T06:51:14.336Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-06-27T06:51:15.989Z] GC before operation: completed in 1277.349 ms, heap usage 695.744 MB -> 93.702 MB. [2025-06-27T06:51:38.951Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T06:51:58.032Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T06:52:20.454Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T06:52:39.635Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T06:52:53.682Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T06:53:05.665Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T06:53:19.825Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T06:53:31.838Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T06:53:33.513Z] 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. [2025-06-27T06:53:33.513Z] The best model improves the baseline by 14.52%. [2025-06-27T06:53:35.147Z] Top recommended movies for user id 72: [2025-06-27T06:53:35.147Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-27T06:53:35.147Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-27T06:53:35.147Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-27T06:53:35.147Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-27T06:53:35.147Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-27T06:53:35.147Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (138984.369 ms) ====== [2025-06-27T06:53:35.147Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-06-27T06:53:36.369Z] GC before operation: completed in 1168.292 ms, heap usage 450.129 MB -> 90.027 MB. [2025-06-27T06:53:55.636Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T06:54:14.822Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T06:54:34.133Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T06:54:50.615Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T06:55:02.512Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T06:55:12.651Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T06:55:24.589Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T06:55:34.660Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T06:55:37.280Z] 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. [2025-06-27T06:55:37.280Z] The best model improves the baseline by 14.52%. [2025-06-27T06:55:38.070Z] Top recommended movies for user id 72: [2025-06-27T06:55:38.070Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-27T06:55:38.070Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-27T06:55:38.070Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-27T06:55:38.070Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-27T06:55:38.070Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-27T06:55:38.070Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (122182.904 ms) ====== [2025-06-27T06:55:38.070Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-06-27T06:55:39.681Z] GC before operation: completed in 1023.356 ms, heap usage 263.046 MB -> 89.983 MB. [2025-06-27T06:55:56.771Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T06:56:16.643Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T06:56:33.513Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T06:56:53.187Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T06:57:02.933Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T06:57:13.651Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T06:57:24.482Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T06:57:35.165Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T06:57:37.021Z] 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. [2025-06-27T06:57:37.021Z] The best model improves the baseline by 14.52%. [2025-06-27T06:57:38.849Z] Top recommended movies for user id 72: [2025-06-27T06:57:38.849Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-27T06:57:38.849Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-27T06:57:38.849Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-27T06:57:38.849Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-27T06:57:38.849Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-27T06:57:38.849Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (119248.681 ms) ====== [2025-06-27T06:57:38.849Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-06-27T06:57:39.715Z] GC before operation: completed in 1188.815 ms, heap usage 264.800 MB -> 89.869 MB. [2025-06-27T06:58:00.095Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T06:58:17.033Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T06:58:37.145Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T06:58:54.217Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T06:59:06.249Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T06:59:15.041Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T06:59:29.488Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T06:59:40.108Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T06:59:41.836Z] 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. [2025-06-27T06:59:41.836Z] The best model improves the baseline by 14.52%. [2025-06-27T06:59:42.675Z] Top recommended movies for user id 72: [2025-06-27T06:59:42.675Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-27T06:59:42.675Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-27T06:59:42.675Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-27T06:59:42.675Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-27T06:59:42.675Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-27T06:59:42.675Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (123344.669 ms) ====== [2025-06-27T06:59:42.675Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-06-27T06:59:44.396Z] GC before operation: completed in 1114.183 ms, heap usage 297.301 MB -> 90.134 MB. [2025-06-27T07:00:04.277Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T07:00:24.433Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T07:00:47.537Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T07:01:04.345Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T07:01:14.792Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T07:01:27.575Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T07:01:39.809Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T07:01:52.032Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T07:01:53.747Z] 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. [2025-06-27T07:01:53.747Z] The best model improves the baseline by 14.52%. [2025-06-27T07:01:54.576Z] Top recommended movies for user id 72: [2025-06-27T07:01:54.576Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-27T07:01:54.576Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-27T07:01:54.576Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-27T07:01:54.576Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-27T07:01:54.576Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-27T07:01:54.576Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (130368.102 ms) ====== [2025-06-27T07:01:54.576Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-06-27T07:01:56.301Z] GC before operation: completed in 1269.013 ms, heap usage 112.210 MB -> 87.824 MB. [2025-06-27T07:02:15.938Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T07:02:36.139Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T07:02:56.005Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T07:03:16.671Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T07:03:31.353Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T07:03:45.840Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T07:03:58.164Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T07:04:08.715Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T07:04:11.390Z] 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. [2025-06-27T07:04:11.390Z] The best model improves the baseline by 14.52%. [2025-06-27T07:04:12.234Z] Top recommended movies for user id 72: [2025-06-27T07:04:12.234Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-27T07:04:12.234Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-27T07:04:12.234Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-27T07:04:12.234Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-27T07:04:12.234Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-27T07:04:12.234Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (136646.264 ms) ====== [2025-06-27T07:04:12.234Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-06-27T07:04:13.948Z] GC before operation: completed in 1558.689 ms, heap usage 472.921 MB -> 87.143 MB. [2025-06-27T07:04:37.870Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T07:04:55.144Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T07:05:12.306Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T07:05:32.918Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T07:05:42.127Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T07:05:54.932Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T07:06:07.225Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T07:06:16.319Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T07:06:19.082Z] 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. [2025-06-27T07:06:19.082Z] The best model improves the baseline by 14.52%. [2025-06-27T07:06:19.922Z] Top recommended movies for user id 72: [2025-06-27T07:06:19.922Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-27T07:06:19.922Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-27T07:06:19.922Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-27T07:06:19.922Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-27T07:06:19.922Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-27T07:06:19.922Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (125589.042 ms) ====== [2025-06-27T07:06:19.922Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-06-27T07:06:20.782Z] GC before operation: completed in 1040.727 ms, heap usage 343.731 MB -> 86.992 MB. [2025-06-27T07:06:44.463Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T07:07:01.773Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T07:07:25.227Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T07:07:45.849Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T07:07:54.810Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T07:08:07.276Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T07:08:17.984Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T07:08:28.773Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T07:08:29.713Z] 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. [2025-06-27T07:08:29.713Z] The best model improves the baseline by 14.52%. [2025-06-27T07:08:30.579Z] Top recommended movies for user id 72: [2025-06-27T07:08:30.580Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-27T07:08:30.580Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-27T07:08:30.580Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-27T07:08:30.580Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-27T07:08:30.580Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-27T07:08:30.580Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (129531.546 ms) ====== [2025-06-27T07:08:30.580Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-06-27T07:08:31.459Z] GC before operation: completed in 1084.658 ms, heap usage 560.053 MB -> 92.114 MB. [2025-06-27T07:08:52.448Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T07:09:07.181Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T07:09:26.903Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T07:09:43.888Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T07:09:52.614Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T07:10:05.668Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T07:10:16.147Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T07:10:26.897Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T07:10:29.629Z] 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. [2025-06-27T07:10:29.629Z] The best model improves the baseline by 14.52%. [2025-06-27T07:10:31.409Z] Top recommended movies for user id 72: [2025-06-27T07:10:31.409Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-27T07:10:31.409Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-27T07:10:31.409Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-27T07:10:31.409Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-27T07:10:31.409Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-27T07:10:31.409Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (119883.623 ms) ====== [2025-06-27T07:10:31.409Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-06-27T07:10:32.249Z] GC before operation: completed in 1155.164 ms, heap usage 367.798 MB -> 86.604 MB. [2025-06-27T07:10:55.420Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T07:11:16.032Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T07:11:33.069Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T07:11:52.893Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T07:12:03.346Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T07:12:14.525Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T07:12:26.804Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T07:12:39.130Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T07:12:40.845Z] 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. [2025-06-27T07:12:40.845Z] The best model improves the baseline by 14.52%. [2025-06-27T07:12:42.532Z] Top recommended movies for user id 72: [2025-06-27T07:12:42.532Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-27T07:12:42.532Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-27T07:12:42.532Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-27T07:12:42.532Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-27T07:12:42.532Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-27T07:12:42.532Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (129783.558 ms) ====== [2025-06-27T07:12:42.532Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-06-27T07:12:43.346Z] GC before operation: completed in 996.708 ms, heap usage 362.374 MB -> 86.538 MB. [2025-06-27T07:13:03.124Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T07:13:22.842Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T07:13:45.852Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T07:14:02.674Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T07:14:13.164Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T07:14:25.897Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T07:14:36.468Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T07:14:49.100Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T07:14:50.865Z] 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. [2025-06-27T07:14:50.865Z] The best model improves the baseline by 14.52%. [2025-06-27T07:14:51.707Z] Top recommended movies for user id 72: [2025-06-27T07:14:51.707Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-27T07:14:51.707Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-27T07:14:51.707Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-27T07:14:51.707Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-27T07:14:51.707Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-27T07:14:51.707Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (128863.484 ms) ====== [2025-06-27T07:14:51.707Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-06-27T07:14:53.446Z] GC before operation: completed in 1072.957 ms, heap usage 258.043 MB -> 86.434 MB. [2025-06-27T07:15:13.212Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T07:15:30.811Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T07:15:47.828Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T07:16:02.634Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T07:16:13.125Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T07:16:23.681Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T07:16:32.987Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T07:16:45.641Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T07:16:46.508Z] 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. [2025-06-27T07:16:46.508Z] The best model improves the baseline by 14.52%. [2025-06-27T07:16:47.364Z] Top recommended movies for user id 72: [2025-06-27T07:16:47.364Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-27T07:16:47.364Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-27T07:16:47.364Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-27T07:16:47.364Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-27T07:16:47.364Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-27T07:16:47.364Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (114680.239 ms) ====== [2025-06-27T07:16:47.364Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-06-27T07:16:49.144Z] GC before operation: completed in 1271.438 ms, heap usage 199.059 MB -> 86.085 MB. [2025-06-27T07:17:08.890Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T07:17:28.450Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T07:17:48.367Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T07:18:07.886Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T07:18:20.198Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T07:18:32.873Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T07:18:46.058Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T07:18:58.585Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T07:18:59.407Z] 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. [2025-06-27T07:18:59.407Z] The best model improves the baseline by 14.52%. [2025-06-27T07:19:00.226Z] Top recommended movies for user id 72: [2025-06-27T07:19:00.226Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-27T07:19:00.226Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-27T07:19:00.226Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-27T07:19:00.226Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-27T07:19:00.226Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-27T07:19:00.226Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (131401.449 ms) ====== [2025-06-27T07:19:00.226Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-06-27T07:19:03.093Z] GC before operation: completed in 1125.909 ms, heap usage 340.118 MB -> 86.392 MB. [2025-06-27T07:19:22.846Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-27T07:19:42.329Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-27T07:20:02.256Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-27T07:20:19.024Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-27T07:20:31.177Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-27T07:20:41.564Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-27T07:20:51.945Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-27T07:20:59.691Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-27T07:21:02.357Z] 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. [2025-06-27T07:21:02.357Z] The best model improves the baseline by 14.52%. [2025-06-27T07:21:03.194Z] Top recommended movies for user id 72: [2025-06-27T07:21:03.194Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-27T07:21:03.194Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-27T07:21:03.194Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-27T07:21:03.194Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-27T07:21:03.194Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-27T07:21:03.194Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (121515.074 ms) ====== [2025-06-27T07:21:06.873Z] ----------------------------------- [2025-06-27T07:21:06.873Z] renaissance-movie-lens_0_PASSED [2025-06-27T07:21:06.873Z] ----------------------------------- [2025-06-27T07:21:06.873Z] [2025-06-27T07:21:06.873Z] TEST TEARDOWN: [2025-06-27T07:21:06.873Z] Nothing to be done for teardown. [2025-06-27T07:21:06.873Z] renaissance-movie-lens_0 Finish Time: Fri Jun 27 07:21:05 2025 Epoch Time (ms): 1751008865979