[2026-01-18T22:00:07.393Z] Running test renaissance-movie-lens_0 ... [2026-01-18T22:00:07.393Z] =============================================== [2026-01-18T22:00:08.039Z] renaissance-movie-lens_0 Start Time: Sun Jan 18 22:00:07 2026 Epoch Time (ms): 1768773607355 [2026-01-18T22:00:08.039Z] variation: NoOptions [2026-01-18T22:00:08.039Z] JVM_OPTIONS: [2026-01-18T22:00:08.039Z] { \ [2026-01-18T22:00:08.039Z] echo ""; echo "TEST SETUP:"; \ [2026-01-18T22:00:08.039Z] echo "Nothing to be done for setup."; \ [2026-01-18T22:00:08.039Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17687716655643/renaissance-movie-lens_0"; \ [2026-01-18T22:00:08.039Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17687716655643/renaissance-movie-lens_0"; \ [2026-01-18T22:00:08.039Z] echo ""; echo "TESTING:"; \ [2026-01-18T22:00:08.039Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_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_x86-64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17687716655643/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-01-18T22:00:08.039Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17687716655643/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-01-18T22:00:08.039Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-01-18T22:00:08.039Z] echo "Nothing to be done for teardown."; \ [2026-01-18T22:00:08.039Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_17687716655643/TestTargetResult"; [2026-01-18T22:00:08.039Z] [2026-01-18T22:00:08.039Z] TEST SETUP: [2026-01-18T22:00:08.039Z] Nothing to be done for setup. [2026-01-18T22:00:08.039Z] [2026-01-18T22:00:08.039Z] TESTING: [2026-01-18T22:00:13.304Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-01-18T22:00:19.296Z] 22:00:18.879 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2026-01-18T22:00:22.245Z] Got 100004 ratings from 671 users on 9066 movies. [2026-01-18T22:00:22.892Z] Training: 60056, validation: 20285, test: 19854 [2026-01-18T22:00:22.892Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-01-18T22:00:22.892Z] GC before operation: completed in 154.392 ms, heap usage 154.096 MB -> 75.607 MB. [2026-01-18T22:00:31.640Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T22:00:35.502Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T22:00:39.344Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T22:00:42.311Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T22:00:44.460Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T22:00:47.393Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T22:00:49.494Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T22:00:50.842Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T22:00:51.490Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-18T22:00:51.490Z] The best model improves the baseline by 14.34%. [2026-01-18T22:00:51.490Z] Top recommended movies for user id 72: [2026-01-18T22:00:51.490Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-18T22:00:51.490Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-18T22:00:51.490Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-18T22:00:51.490Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-18T22:00:51.490Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-18T22:00:51.490Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (28591.989 ms) ====== [2026-01-18T22:00:51.490Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-01-18T22:00:51.490Z] GC before operation: completed in 167.479 ms, heap usage 171.365 MB -> 88.974 MB. [2026-01-18T22:00:54.430Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T22:00:57.359Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T22:01:00.290Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T22:01:03.252Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T22:01:04.595Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T22:01:05.937Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T22:01:07.683Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T22:01:09.028Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T22:01:09.673Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-18T22:01:09.673Z] The best model improves the baseline by 14.34%. [2026-01-18T22:01:09.673Z] Top recommended movies for user id 72: [2026-01-18T22:01:09.673Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-18T22:01:09.673Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-18T22:01:09.673Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-18T22:01:09.673Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-18T22:01:09.673Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-18T22:01:09.673Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (18015.027 ms) ====== [2026-01-18T22:01:09.673Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-01-18T22:01:09.673Z] GC before operation: completed in 154.309 ms, heap usage 193.216 MB -> 87.596 MB. [2026-01-18T22:01:12.602Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T22:01:15.532Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T22:01:17.680Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T22:01:20.607Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T22:01:21.949Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T22:01:23.290Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T22:01:24.638Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T22:01:26.741Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T22:01:26.741Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-18T22:01:26.741Z] The best model improves the baseline by 14.34%. [2026-01-18T22:01:26.741Z] Top recommended movies for user id 72: [2026-01-18T22:01:26.741Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-18T22:01:26.741Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-18T22:01:26.741Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-18T22:01:26.741Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-18T22:01:26.741Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-18T22:01:26.741Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (17168.682 ms) ====== [2026-01-18T22:01:26.741Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-01-18T22:01:27.386Z] GC before operation: completed in 150.644 ms, heap usage 241.987 MB -> 88.345 MB. [2026-01-18T22:01:30.309Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T22:01:32.403Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T22:01:35.325Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T22:01:37.501Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T22:01:38.843Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T22:01:41.002Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T22:01:42.346Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T22:01:43.698Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T22:01:43.698Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-18T22:01:44.349Z] The best model improves the baseline by 14.34%. [2026-01-18T22:01:44.349Z] Top recommended movies for user id 72: [2026-01-18T22:01:44.349Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-18T22:01:44.349Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-18T22:01:44.349Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-18T22:01:44.349Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-18T22:01:44.349Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-18T22:01:44.349Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (17005.407 ms) ====== [2026-01-18T22:01:44.349Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-01-18T22:01:44.349Z] GC before operation: completed in 141.291 ms, heap usage 186.977 MB -> 88.515 MB. [2026-01-18T22:01:47.278Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T22:01:49.375Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T22:01:52.302Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T22:01:54.434Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T22:01:56.533Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T22:01:58.277Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T22:01:59.620Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T22:02:00.967Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T22:02:00.967Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-18T22:02:00.967Z] The best model improves the baseline by 14.34%. [2026-01-18T22:02:01.611Z] Top recommended movies for user id 72: [2026-01-18T22:02:01.611Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-18T22:02:01.611Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-18T22:02:01.611Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-18T22:02:01.611Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-18T22:02:01.611Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-18T22:02:01.611Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (17005.197 ms) ====== [2026-01-18T22:02:01.611Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-01-18T22:02:01.611Z] GC before operation: completed in 156.907 ms, heap usage 140.299 MB -> 88.565 MB. [2026-01-18T22:02:04.542Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T22:02:06.637Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T22:02:08.737Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T22:02:11.666Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T22:02:13.009Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T22:02:14.354Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T22:02:15.696Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T22:02:17.166Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T22:02:17.166Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-18T22:02:17.166Z] The best model improves the baseline by 14.34%. [2026-01-18T22:02:17.166Z] Top recommended movies for user id 72: [2026-01-18T22:02:17.166Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-18T22:02:17.166Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-18T22:02:17.166Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-18T22:02:17.166Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-18T22:02:17.166Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-18T22:02:17.166Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (15961.432 ms) ====== [2026-01-18T22:02:17.166Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-01-18T22:02:17.812Z] GC before operation: completed in 157.308 ms, heap usage 303.299 MB -> 89.109 MB. [2026-01-18T22:02:19.918Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T22:02:22.012Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T22:02:24.940Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T22:02:27.873Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T22:02:29.216Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T22:02:31.315Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T22:02:32.697Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T22:02:34.040Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T22:02:34.687Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-18T22:02:34.687Z] The best model improves the baseline by 14.34%. [2026-01-18T22:02:34.687Z] Top recommended movies for user id 72: [2026-01-18T22:02:34.687Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-18T22:02:34.687Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-18T22:02:34.687Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-18T22:02:34.687Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-18T22:02:34.687Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-18T22:02:34.687Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (17266.174 ms) ====== [2026-01-18T22:02:34.687Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-01-18T22:02:35.336Z] GC before operation: completed in 150.041 ms, heap usage 444.639 MB -> 92.464 MB. [2026-01-18T22:02:37.461Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T22:02:40.393Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T22:02:42.503Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T22:02:45.427Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T22:02:46.769Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T22:02:48.115Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T22:02:50.458Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T22:02:51.802Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T22:02:51.802Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-18T22:02:51.802Z] The best model improves the baseline by 14.34%. [2026-01-18T22:02:51.802Z] Top recommended movies for user id 72: [2026-01-18T22:02:51.802Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-18T22:02:51.802Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-18T22:02:51.802Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-18T22:02:51.802Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-18T22:02:51.802Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-18T22:02:51.802Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (17015.223 ms) ====== [2026-01-18T22:02:51.802Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-01-18T22:02:52.447Z] GC before operation: completed in 135.160 ms, heap usage 151.571 MB -> 88.991 MB. [2026-01-18T22:02:54.543Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T22:02:57.477Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T22:03:00.406Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T22:03:03.333Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T22:03:04.685Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T22:03:06.028Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T22:03:07.382Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T22:03:09.478Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T22:03:09.478Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-18T22:03:09.478Z] The best model improves the baseline by 14.34%. [2026-01-18T22:03:10.127Z] Top recommended movies for user id 72: [2026-01-18T22:03:10.127Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-18T22:03:10.127Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-18T22:03:10.127Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-18T22:03:10.127Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-18T22:03:10.127Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-18T22:03:10.127Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (17820.614 ms) ====== [2026-01-18T22:03:10.127Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-01-18T22:03:10.127Z] GC before operation: completed in 142.944 ms, heap usage 126.398 MB -> 88.848 MB. [2026-01-18T22:03:13.091Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T22:03:16.021Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T22:03:18.950Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T22:03:21.048Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T22:03:22.391Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T22:03:23.730Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T22:03:25.072Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T22:03:26.419Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T22:03:27.070Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-18T22:03:27.070Z] The best model improves the baseline by 14.34%. [2026-01-18T22:03:27.070Z] Top recommended movies for user id 72: [2026-01-18T22:03:27.070Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-18T22:03:27.070Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-18T22:03:27.070Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-18T22:03:27.070Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-18T22:03:27.070Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-18T22:03:27.070Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (16851.965 ms) ====== [2026-01-18T22:03:27.070Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-01-18T22:03:27.070Z] GC before operation: completed in 134.651 ms, heap usage 140.106 MB -> 89.029 MB. [2026-01-18T22:03:30.029Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T22:03:32.130Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T22:03:34.229Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T22:03:36.328Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T22:03:37.671Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T22:03:39.017Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T22:03:41.119Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T22:03:42.165Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T22:03:42.827Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-18T22:03:42.827Z] The best model improves the baseline by 14.34%. [2026-01-18T22:03:42.827Z] Top recommended movies for user id 72: [2026-01-18T22:03:42.827Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-18T22:03:42.827Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-18T22:03:42.827Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-18T22:03:42.827Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-18T22:03:42.827Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-18T22:03:42.827Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (15525.293 ms) ====== [2026-01-18T22:03:42.827Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-01-18T22:03:42.827Z] GC before operation: completed in 132.264 ms, heap usage 140.829 MB -> 88.768 MB. [2026-01-18T22:03:44.927Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T22:03:47.858Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T22:03:49.974Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T22:03:52.070Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T22:03:53.437Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T22:03:54.781Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T22:03:56.118Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T22:03:57.463Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T22:03:57.464Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-18T22:03:57.464Z] The best model improves the baseline by 14.34%. [2026-01-18T22:03:58.107Z] Top recommended movies for user id 72: [2026-01-18T22:03:58.108Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-18T22:03:58.108Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-18T22:03:58.108Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-18T22:03:58.108Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-18T22:03:58.108Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-18T22:03:58.108Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (15022.407 ms) ====== [2026-01-18T22:03:58.108Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-01-18T22:03:58.108Z] GC before operation: completed in 141.636 ms, heap usage 303.745 MB -> 89.288 MB. [2026-01-18T22:04:00.200Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T22:04:02.295Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T22:04:05.222Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T22:04:06.597Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T22:04:08.692Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T22:04:10.028Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T22:04:11.369Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T22:04:12.710Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T22:04:13.354Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-18T22:04:13.354Z] The best model improves the baseline by 14.34%. [2026-01-18T22:04:13.354Z] Top recommended movies for user id 72: [2026-01-18T22:04:13.354Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-18T22:04:13.354Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-18T22:04:13.354Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-18T22:04:13.354Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-18T22:04:13.354Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-18T22:04:13.354Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (15303.675 ms) ====== [2026-01-18T22:04:13.354Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-01-18T22:04:13.354Z] GC before operation: completed in 135.389 ms, heap usage 205.886 MB -> 89.199 MB. [2026-01-18T22:04:16.277Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T22:04:18.374Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T22:04:20.471Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T22:04:22.567Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T22:04:24.666Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T22:04:25.314Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T22:04:27.413Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T22:04:28.861Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T22:04:28.861Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-18T22:04:28.861Z] The best model improves the baseline by 14.34%. [2026-01-18T22:04:28.861Z] Top recommended movies for user id 72: [2026-01-18T22:04:28.861Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-18T22:04:28.861Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-18T22:04:28.861Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-18T22:04:28.861Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-18T22:04:28.861Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-18T22:04:28.861Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (15467.873 ms) ====== [2026-01-18T22:04:28.861Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-01-18T22:04:28.861Z] GC before operation: completed in 145.787 ms, heap usage 165.598 MB -> 89.009 MB. [2026-01-18T22:04:31.791Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T22:04:33.893Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T22:04:35.992Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T22:04:38.090Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T22:04:39.435Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T22:04:40.778Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T22:04:42.126Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T22:04:43.471Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T22:04:43.471Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-18T22:04:43.471Z] The best model improves the baseline by 14.34%. [2026-01-18T22:04:44.118Z] Top recommended movies for user id 72: [2026-01-18T22:04:44.118Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-18T22:04:44.118Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-18T22:04:44.118Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-18T22:04:44.118Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-18T22:04:44.118Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-18T22:04:44.118Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (14864.100 ms) ====== [2026-01-18T22:04:44.118Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-01-18T22:04:44.118Z] GC before operation: completed in 137.153 ms, heap usage 161.760 MB -> 89.236 MB. [2026-01-18T22:04:46.216Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T22:04:48.323Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T22:04:51.247Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T22:04:53.345Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T22:04:54.688Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T22:04:56.032Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T22:04:57.370Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T22:04:58.714Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T22:04:58.714Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-18T22:04:58.714Z] The best model improves the baseline by 14.34%. [2026-01-18T22:04:58.714Z] Top recommended movies for user id 72: [2026-01-18T22:04:58.714Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-18T22:04:58.714Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-18T22:04:58.714Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-18T22:04:58.714Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-18T22:04:58.714Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-18T22:04:58.714Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14963.638 ms) ====== [2026-01-18T22:04:58.714Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-01-18T22:04:59.360Z] GC before operation: completed in 137.272 ms, heap usage 175.850 MB -> 89.111 MB. [2026-01-18T22:05:01.458Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T22:05:03.591Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T22:05:06.549Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T22:05:08.646Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T22:05:09.992Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T22:05:11.337Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T22:05:13.433Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T22:05:14.775Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T22:05:14.775Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-18T22:05:14.775Z] The best model improves the baseline by 14.34%. [2026-01-18T22:05:14.775Z] Top recommended movies for user id 72: [2026-01-18T22:05:14.775Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-18T22:05:14.775Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-18T22:05:14.775Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-18T22:05:14.775Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-18T22:05:14.775Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-18T22:05:14.775Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (15807.713 ms) ====== [2026-01-18T22:05:14.775Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-01-18T22:05:14.775Z] GC before operation: completed in 134.983 ms, heap usage 276.280 MB -> 89.408 MB. [2026-01-18T22:05:17.702Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T22:05:19.799Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T22:05:23.125Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T22:05:25.223Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T22:05:26.566Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T22:05:27.904Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T22:05:29.245Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T22:05:31.344Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T22:05:31.344Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-18T22:05:31.344Z] The best model improves the baseline by 14.34%. [2026-01-18T22:05:31.344Z] Top recommended movies for user id 72: [2026-01-18T22:05:31.344Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-18T22:05:31.344Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-18T22:05:31.344Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-18T22:05:31.344Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-18T22:05:31.344Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-18T22:05:31.344Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (16355.235 ms) ====== [2026-01-18T22:05:31.344Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-01-18T22:05:31.344Z] GC before operation: completed in 133.282 ms, heap usage 295.590 MB -> 89.205 MB. [2026-01-18T22:05:34.267Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T22:05:37.191Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T22:05:40.118Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T22:05:42.217Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T22:05:43.560Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T22:05:44.898Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T22:05:46.252Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T22:05:48.434Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T22:05:48.434Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-18T22:05:48.434Z] The best model improves the baseline by 14.34%. [2026-01-18T22:05:48.434Z] Top recommended movies for user id 72: [2026-01-18T22:05:48.434Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-18T22:05:48.434Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-18T22:05:48.434Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-18T22:05:48.434Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-18T22:05:48.434Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-18T22:05:48.434Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (16912.104 ms) ====== [2026-01-18T22:05:48.434Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-01-18T22:05:48.434Z] GC before operation: completed in 137.932 ms, heap usage 418.800 MB -> 89.511 MB. [2026-01-18T22:05:51.352Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-01-18T22:05:53.446Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-01-18T22:05:55.543Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-01-18T22:05:57.636Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-01-18T22:05:58.975Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-01-18T22:06:00.313Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-01-18T22:06:01.656Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-01-18T22:06:02.997Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-01-18T22:06:03.640Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2026-01-18T22:06:03.640Z] The best model improves the baseline by 14.34%. [2026-01-18T22:06:03.640Z] Top recommended movies for user id 72: [2026-01-18T22:06:03.640Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-01-18T22:06:03.640Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-01-18T22:06:03.640Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-01-18T22:06:03.640Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-01-18T22:06:03.640Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-01-18T22:06:03.640Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (15061.178 ms) ====== [2026-01-18T22:06:04.329Z] ----------------------------------- [2026-01-18T22:06:04.329Z] renaissance-movie-lens_0_PASSED [2026-01-18T22:06:04.329Z] ----------------------------------- [2026-01-18T22:06:04.329Z] [2026-01-18T22:06:04.329Z] TEST TEARDOWN: [2026-01-18T22:06:04.329Z] Nothing to be done for teardown. [2026-01-18T22:06:04.329Z] renaissance-movie-lens_0 Finish Time: Sun Jan 18 22:06:03 2026 Epoch Time (ms): 1768773963746