[2025-06-29T22:31:38.360Z] Running test renaissance-movie-lens_0 ... [2025-06-29T22:31:38.360Z] =============================================== [2025-06-29T22:31:38.360Z] renaissance-movie-lens_0 Start Time: Sun Jun 29 22:31:38 2025 Epoch Time (ms): 1751236298085 [2025-06-29T22:31:38.360Z] variation: NoOptions [2025-06-29T22:31:38.360Z] JVM_OPTIONS: [2025-06-29T22:31:38.360Z] { \ [2025-06-29T22:31:38.360Z] echo ""; echo "TEST SETUP:"; \ [2025-06-29T22:31:38.360Z] echo "Nothing to be done for setup."; \ [2025-06-29T22:31:38.360Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17512298367162/renaissance-movie-lens_0"; \ [2025-06-29T22:31:38.360Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17512298367162/renaissance-movie-lens_0"; \ [2025-06-29T22:31:38.360Z] echo ""; echo "TESTING:"; \ [2025-06-29T22:31:38.360Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_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_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17512298367162/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-06-29T22:31:38.360Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17512298367162/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-06-29T22:31:38.360Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-06-29T22:31:38.360Z] echo "Nothing to be done for teardown."; \ [2025-06-29T22:31:38.360Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17512298367162/TestTargetResult"; [2025-06-29T22:31:38.360Z] [2025-06-29T22:31:38.360Z] TEST SETUP: [2025-06-29T22:31:38.360Z] Nothing to be done for setup. [2025-06-29T22:31:38.360Z] [2025-06-29T22:31:38.360Z] TESTING: [2025-06-29T22:32:00.352Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-06-29T22:32:35.715Z] 22:32:31.489 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-06-29T22:32:46.185Z] Got 100004 ratings from 671 users on 9066 movies. [2025-06-29T22:32:47.798Z] Training: 60056, validation: 20285, test: 19854 [2025-06-29T22:32:47.798Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-06-29T22:32:48.572Z] GC before operation: completed in 761.812 ms, heap usage 403.448 MB -> 75.875 MB. [2025-06-29T22:33:30.134Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T22:33:52.417Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T22:34:15.373Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T22:34:31.872Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T22:34:41.876Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T22:34:50.318Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T22:35:00.705Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T22:35:08.021Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T22:35:09.653Z] 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. [2025-06-29T22:35:10.436Z] The best model improves the baseline by 14.52%. [2025-06-29T22:35:11.207Z] Top recommended movies for user id 72: [2025-06-29T22:35:11.207Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-29T22:35:11.207Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-29T22:35:11.207Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-29T22:35:11.207Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-29T22:35:11.207Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-29T22:35:11.207Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (142426.609 ms) ====== [2025-06-29T22:35:11.207Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-06-29T22:35:11.973Z] GC before operation: completed in 898.958 ms, heap usage 477.039 MB -> 94.306 MB. [2025-06-29T22:35:31.009Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T22:35:45.086Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T22:35:59.022Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T22:36:13.373Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T22:36:20.265Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T22:36:28.818Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T22:36:37.390Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T22:36:45.767Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T22:36:45.767Z] 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. [2025-06-29T22:36:45.767Z] The best model improves the baseline by 14.52%. [2025-06-29T22:36:46.539Z] Top recommended movies for user id 72: [2025-06-29T22:36:46.539Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-29T22:36:46.539Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-29T22:36:46.539Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-29T22:36:46.539Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-29T22:36:46.539Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-29T22:36:46.539Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (94561.173 ms) ====== [2025-06-29T22:36:46.539Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-06-29T22:36:47.307Z] GC before operation: completed in 948.612 ms, heap usage 731.953 MB -> 92.428 MB. [2025-06-29T22:37:01.872Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T22:37:15.839Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T22:37:29.901Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T22:37:41.818Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T22:37:50.238Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T22:37:57.732Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T22:38:04.595Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T22:38:12.868Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T22:38:13.633Z] 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. [2025-06-29T22:38:13.633Z] The best model improves the baseline by 14.52%. [2025-06-29T22:38:14.413Z] Top recommended movies for user id 72: [2025-06-29T22:38:14.413Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-29T22:38:14.413Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-29T22:38:14.413Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-29T22:38:14.413Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-29T22:38:14.413Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-29T22:38:14.413Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (86714.524 ms) ====== [2025-06-29T22:38:14.413Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-06-29T22:38:15.192Z] GC before operation: completed in 853.513 ms, heap usage 132.614 MB -> 91.675 MB. [2025-06-29T22:38:28.958Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T22:38:42.847Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T22:38:54.779Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T22:39:08.483Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T22:39:15.349Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T22:39:23.646Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T22:39:30.695Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T22:39:39.024Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T22:39:40.062Z] 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. [2025-06-29T22:39:40.062Z] The best model improves the baseline by 14.52%. [2025-06-29T22:39:40.982Z] Top recommended movies for user id 72: [2025-06-29T22:39:40.982Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-29T22:39:40.982Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-29T22:39:40.982Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-29T22:39:40.982Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-29T22:39:40.982Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-29T22:39:40.982Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (85800.876 ms) ====== [2025-06-29T22:39:40.982Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-06-29T22:39:41.745Z] GC before operation: completed in 751.218 ms, heap usage 180.239 MB -> 90.414 MB. [2025-06-29T22:39:55.481Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T22:40:09.248Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T22:40:23.016Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T22:40:34.722Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T22:40:42.522Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T22:40:50.872Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T22:40:57.795Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T22:41:04.661Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T22:41:05.440Z] 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. [2025-06-29T22:41:05.440Z] The best model improves the baseline by 14.52%. [2025-06-29T22:41:06.214Z] Top recommended movies for user id 72: [2025-06-29T22:41:06.214Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-29T22:41:06.214Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-29T22:41:06.214Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-29T22:41:06.214Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-29T22:41:06.214Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-29T22:41:06.214Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (84541.482 ms) ====== [2025-06-29T22:41:06.214Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-06-29T22:41:06.982Z] GC before operation: completed in 613.650 ms, heap usage 343.685 MB -> 89.577 MB. [2025-06-29T22:41:18.670Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T22:41:33.233Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T22:41:44.926Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T22:41:56.608Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T22:42:03.447Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T22:42:11.746Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T22:42:20.060Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T22:42:28.343Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T22:42:29.133Z] 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. [2025-06-29T22:42:30.412Z] The best model improves the baseline by 14.52%. [2025-06-29T22:42:31.313Z] Top recommended movies for user id 72: [2025-06-29T22:42:31.313Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-29T22:42:31.313Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-29T22:42:31.313Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-29T22:42:31.313Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-29T22:42:31.313Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-29T22:42:31.313Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (83919.388 ms) ====== [2025-06-29T22:42:31.313Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-06-29T22:42:31.313Z] GC before operation: completed in 736.317 ms, heap usage 288.121 MB -> 89.977 MB. [2025-06-29T22:42:45.206Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T22:42:56.857Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T22:43:10.594Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T22:43:22.261Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T22:43:29.630Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T22:43:36.499Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T22:43:43.354Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T22:43:50.200Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T22:43:51.784Z] 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. [2025-06-29T22:43:51.784Z] The best model improves the baseline by 14.52%. [2025-06-29T22:43:52.558Z] Top recommended movies for user id 72: [2025-06-29T22:43:52.558Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-29T22:43:52.558Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-29T22:43:52.558Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-29T22:43:52.558Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-29T22:43:52.558Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-29T22:43:52.558Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (80782.951 ms) ====== [2025-06-29T22:43:52.558Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-06-29T22:43:53.332Z] GC before operation: completed in 744.836 ms, heap usage 326.119 MB -> 90.044 MB. [2025-06-29T22:44:05.007Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T22:44:17.474Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T22:44:29.124Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T22:44:39.327Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T22:44:46.180Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T22:44:53.034Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T22:44:58.642Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T22:45:05.490Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T22:45:06.543Z] 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. [2025-06-29T22:45:06.543Z] The best model improves the baseline by 14.52%. [2025-06-29T22:45:07.580Z] Top recommended movies for user id 72: [2025-06-29T22:45:07.580Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-29T22:45:07.580Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-29T22:45:07.580Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-29T22:45:07.580Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-29T22:45:07.580Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-29T22:45:07.580Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (73719.062 ms) ====== [2025-06-29T22:45:07.580Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-06-29T22:45:07.580Z] GC before operation: completed in 668.986 ms, heap usage 133.803 MB -> 89.819 MB. [2025-06-29T22:45:19.258Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T22:45:29.130Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T22:45:40.826Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T22:45:50.683Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T22:45:56.268Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T22:46:03.815Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T22:46:10.687Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T22:46:17.559Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T22:46:18.326Z] 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. [2025-06-29T22:46:18.326Z] The best model improves the baseline by 14.52%. [2025-06-29T22:46:19.090Z] Top recommended movies for user id 72: [2025-06-29T22:46:19.090Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-29T22:46:19.090Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-29T22:46:19.090Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-29T22:46:19.090Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-29T22:46:19.090Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-29T22:46:19.090Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (71719.647 ms) ====== [2025-06-29T22:46:19.090Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-06-29T22:46:19.856Z] GC before operation: completed in 917.148 ms, heap usage 618.964 MB -> 93.660 MB. [2025-06-29T22:46:33.626Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T22:46:43.488Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T22:46:55.820Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T22:47:07.498Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T22:47:14.788Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T22:47:20.379Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T22:47:28.690Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T22:47:35.671Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T22:47:36.471Z] 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. [2025-06-29T22:47:36.471Z] The best model improves the baseline by 14.52%. [2025-06-29T22:47:37.245Z] Top recommended movies for user id 72: [2025-06-29T22:47:37.245Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-29T22:47:37.245Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-29T22:47:37.245Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-29T22:47:37.245Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-29T22:47:37.245Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-29T22:47:37.245Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (77020.789 ms) ====== [2025-06-29T22:47:37.245Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-06-29T22:47:38.016Z] GC before operation: completed in 725.887 ms, heap usage 364.356 MB -> 90.189 MB. [2025-06-29T22:47:49.682Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T22:47:59.594Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T22:48:11.482Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T22:48:22.100Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T22:48:27.698Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T22:48:36.013Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T22:48:42.870Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T22:48:49.704Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T22:48:50.476Z] 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. [2025-06-29T22:48:50.476Z] The best model improves the baseline by 14.52%. [2025-06-29T22:48:51.248Z] Top recommended movies for user id 72: [2025-06-29T22:48:51.248Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-29T22:48:51.248Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-29T22:48:51.248Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-29T22:48:51.248Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-29T22:48:51.248Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-29T22:48:51.248Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (73638.863 ms) ====== [2025-06-29T22:48:51.248Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-06-29T22:48:52.022Z] GC before operation: completed in 552.853 ms, heap usage 223.698 MB -> 89.664 MB. [2025-06-29T22:49:04.093Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T22:49:15.803Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T22:49:27.474Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T22:49:39.267Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T22:49:44.899Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T22:49:53.188Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T22:50:00.746Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T22:50:07.657Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T22:50:08.421Z] 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. [2025-06-29T22:50:08.421Z] The best model improves the baseline by 14.52%. [2025-06-29T22:50:09.190Z] Top recommended movies for user id 72: [2025-06-29T22:50:09.190Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-29T22:50:09.190Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-29T22:50:09.190Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-29T22:50:09.190Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-29T22:50:09.190Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-29T22:50:09.190Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (77331.227 ms) ====== [2025-06-29T22:50:09.190Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-06-29T22:50:09.962Z] GC before operation: completed in 647.745 ms, heap usage 208.241 MB -> 89.950 MB. [2025-06-29T22:50:23.710Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T22:50:33.699Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T22:50:45.725Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T22:51:00.390Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T22:51:07.427Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T22:51:14.377Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T22:51:21.359Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T22:51:29.810Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T22:51:30.688Z] 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. [2025-06-29T22:51:30.688Z] The best model improves the baseline by 14.52%. [2025-06-29T22:51:31.494Z] Top recommended movies for user id 72: [2025-06-29T22:51:31.494Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-29T22:51:31.494Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-29T22:51:31.494Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-29T22:51:31.494Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-29T22:51:31.494Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-29T22:51:31.494Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (81519.439 ms) ====== [2025-06-29T22:51:31.494Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-06-29T22:51:32.293Z] GC before operation: completed in 941.509 ms, heap usage 126.130 MB -> 91.455 MB. [2025-06-29T22:51:44.591Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T22:51:56.429Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T22:52:08.303Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T22:52:16.721Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T22:52:22.388Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T22:52:28.138Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T22:52:35.434Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T22:52:40.494Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T22:52:42.095Z] 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. [2025-06-29T22:52:42.095Z] The best model improves the baseline by 14.52%. [2025-06-29T22:52:42.095Z] Top recommended movies for user id 72: [2025-06-29T22:52:42.095Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-29T22:52:42.095Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-29T22:52:42.095Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-29T22:52:42.095Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-29T22:52:42.095Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-29T22:52:42.095Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (69798.971 ms) ====== [2025-06-29T22:52:42.095Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-06-29T22:52:42.886Z] GC before operation: completed in 698.007 ms, heap usage 357.766 MB -> 90.062 MB. [2025-06-29T22:52:52.902Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T22:53:04.703Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T22:53:14.714Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T22:53:24.628Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T22:53:30.225Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T22:53:35.278Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T22:53:42.264Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T22:53:50.739Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T22:53:51.512Z] 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. [2025-06-29T22:53:51.512Z] The best model improves the baseline by 14.52%. [2025-06-29T22:53:52.294Z] Top recommended movies for user id 72: [2025-06-29T22:53:52.294Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-29T22:53:52.294Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-29T22:53:52.294Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-29T22:53:52.294Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-29T22:53:52.294Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-29T22:53:52.294Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (69120.951 ms) ====== [2025-06-29T22:53:52.294Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-06-29T22:53:53.062Z] GC before operation: completed in 759.260 ms, heap usage 443.973 MB -> 90.444 MB. [2025-06-29T22:54:04.946Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T22:54:16.778Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T22:54:26.877Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T22:54:39.043Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T22:54:44.744Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T22:54:51.807Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T22:54:58.898Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T22:55:05.894Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T22:55:06.665Z] 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. [2025-06-29T22:55:06.665Z] The best model improves the baseline by 14.52%. [2025-06-29T22:55:07.498Z] Top recommended movies for user id 72: [2025-06-29T22:55:07.498Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-29T22:55:07.498Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-29T22:55:07.498Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-29T22:55:07.498Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-29T22:55:07.498Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-29T22:55:07.498Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (74391.536 ms) ====== [2025-06-29T22:55:07.498Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-06-29T22:55:08.279Z] GC before operation: completed in 804.787 ms, heap usage 185.299 MB -> 90.749 MB. [2025-06-29T22:55:20.503Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T22:55:32.367Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T22:55:46.272Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T22:55:56.257Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T22:56:04.694Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T22:56:10.442Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T22:56:17.994Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T22:56:24.946Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T22:56:26.586Z] 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. [2025-06-29T22:56:26.586Z] The best model improves the baseline by 14.52%. [2025-06-29T22:56:27.356Z] Top recommended movies for user id 72: [2025-06-29T22:56:27.356Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-29T22:56:27.356Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-29T22:56:27.356Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-29T22:56:27.356Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-29T22:56:27.356Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-29T22:56:27.356Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (78948.409 ms) ====== [2025-06-29T22:56:27.356Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-06-29T22:56:28.130Z] GC before operation: completed in 760.920 ms, heap usage 377.229 MB -> 88.109 MB. [2025-06-29T22:56:41.946Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T22:56:52.030Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T22:57:03.736Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T22:57:14.174Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T22:57:21.217Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T22:57:28.141Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T22:57:35.281Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T22:57:42.347Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T22:57:43.118Z] 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. [2025-06-29T22:57:43.118Z] The best model improves the baseline by 14.52%. [2025-06-29T22:57:43.118Z] Top recommended movies for user id 72: [2025-06-29T22:57:43.118Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-29T22:57:43.118Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-29T22:57:43.118Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-29T22:57:43.118Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-29T22:57:43.118Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-29T22:57:43.118Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (75609.359 ms) ====== [2025-06-29T22:57:43.118Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-06-29T22:57:43.893Z] GC before operation: completed in 746.115 ms, heap usage 410.740 MB -> 87.317 MB. [2025-06-29T22:57:58.374Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T22:58:10.375Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T22:58:22.549Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T22:58:32.519Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T22:58:39.385Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T22:58:44.999Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T22:58:51.859Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T22:58:57.532Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T22:58:59.116Z] 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. [2025-06-29T22:58:59.116Z] The best model improves the baseline by 14.52%. [2025-06-29T22:58:59.930Z] Top recommended movies for user id 72: [2025-06-29T22:58:59.930Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-29T22:58:59.930Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-29T22:58:59.930Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-29T22:58:59.930Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-29T22:58:59.930Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-29T22:58:59.930Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (75570.396 ms) ====== [2025-06-29T22:58:59.930Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-06-29T22:59:00.706Z] GC before operation: completed in 851.794 ms, heap usage 159.963 MB -> 90.822 MB. [2025-06-29T22:59:12.459Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-06-29T22:59:22.999Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-06-29T22:59:34.922Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-06-29T22:59:44.828Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-06-29T22:59:51.828Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-06-29T22:59:58.729Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-06-29T23:00:05.731Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-06-29T23:00:12.694Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-06-29T23:00:12.694Z] 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. [2025-06-29T23:00:13.478Z] The best model improves the baseline by 14.52%. [2025-06-29T23:00:13.478Z] Top recommended movies for user id 72: [2025-06-29T23:00:13.478Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-06-29T23:00:13.478Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-06-29T23:00:13.478Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-06-29T23:00:13.478Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-06-29T23:00:13.478Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-06-29T23:00:13.478Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (73050.193 ms) ====== [2025-06-29T23:00:19.233Z] ----------------------------------- [2025-06-29T23:00:19.233Z] renaissance-movie-lens_0_PASSED [2025-06-29T23:00:19.233Z] ----------------------------------- [2025-06-29T23:00:19.233Z] [2025-06-29T23:00:19.233Z] TEST TEARDOWN: [2025-06-29T23:00:19.233Z] Nothing to be done for teardown. [2025-06-29T23:00:19.233Z] renaissance-movie-lens_0 Finish Time: Sun Jun 29 23:00:18 2025 Epoch Time (ms): 1751238018217