[2026-02-19T22:44:54.761Z] Running test renaissance-movie-lens_0 ... [2026-02-19T22:44:54.761Z] =============================================== [2026-02-19T22:44:54.761Z] renaissance-movie-lens_0 Start Time: Thu Feb 19 22:44:54 2026 Epoch Time (ms): 1771541094605 [2026-02-19T22:44:54.761Z] variation: NoOptions [2026-02-19T22:44:54.761Z] JVM_OPTIONS: [2026-02-19T22:44:54.761Z] { \ [2026-02-19T22:44:54.761Z] echo ""; echo "TEST SETUP:"; \ [2026-02-19T22:44:54.761Z] echo "Nothing to be done for setup."; \ [2026-02-19T22:44:54.761Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_1771539915166/renaissance-movie-lens_0"; \ [2026-02-19T22:44:54.761Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_1771539915166/renaissance-movie-lens_0"; \ [2026-02-19T22:44:54.761Z] echo ""; echo "TESTING:"; \ [2026-02-19T22:44:54.761Z] "/home/jenkins/workspace/Test_openjdk25_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_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_1771539915166/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-19T22:44:54.761Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_1771539915166/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-19T22:44:54.761Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-19T22:44:54.761Z] echo "Nothing to be done for teardown."; \ [2026-02-19T22:44:54.761Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/../TKG/output_1771539915166/TestTargetResult"; [2026-02-19T22:44:54.761Z] [2026-02-19T22:44:54.761Z] TEST SETUP: [2026-02-19T22:44:54.761Z] Nothing to be done for setup. [2026-02-19T22:44:54.761Z] [2026-02-19T22:44:54.761Z] TESTING: [2026-02-19T22:44:55.091Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-02-19T22:44:55.091Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_linux/aqa-tests/TKG/output_1771539915166/renaissance-movie-lens_0/launcher-224454-17745028450824800818/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-02-19T22:44:55.091Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-02-19T22:44:55.091Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-02-19T22:44:59.860Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2026-02-19T22:45:08.789Z] 22:45:07.657 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. [2026-02-19T22:45:11.081Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-19T22:45:11.800Z] Training: 60056, validation: 20285, test: 19854 [2026-02-19T22:45:11.800Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-19T22:45:11.800Z] GC before operation: completed in 177.465 ms, heap usage 224.739 MB -> 75.334 MB. [2026-02-19T22:45:20.889Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T22:45:25.690Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T22:45:30.478Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T22:45:34.275Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T22:45:36.572Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T22:45:38.850Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T22:45:40.516Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T22:45:42.781Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T22:45:42.781Z] 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. [2026-02-19T22:45:42.781Z] The best model improves the baseline by 14.34%. [2026-02-19T22:45:43.114Z] Top recommended movies for user id 72: [2026-02-19T22:45:43.114Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T22:45:43.114Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T22:45:43.114Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T22:45:43.114Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T22:45:43.114Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T22:45:43.114Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (31192.745 ms) ====== [2026-02-19T22:45:43.114Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-19T22:45:43.114Z] GC before operation: completed in 182.771 ms, heap usage 233.525 MB -> 91.015 MB. [2026-02-19T22:45:46.956Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T22:45:49.985Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T22:45:52.983Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T22:45:55.253Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T22:45:56.924Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T22:45:58.614Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T22:46:00.332Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T22:46:02.002Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T22:46:02.002Z] 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. [2026-02-19T22:46:02.002Z] The best model improves the baseline by 14.34%. [2026-02-19T22:46:02.337Z] Top recommended movies for user id 72: [2026-02-19T22:46:02.337Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T22:46:02.337Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T22:46:02.337Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T22:46:02.337Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T22:46:02.337Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T22:46:02.337Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (19112.332 ms) ====== [2026-02-19T22:46:02.337Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-19T22:46:02.337Z] GC before operation: completed in 161.574 ms, heap usage 220.428 MB -> 87.399 MB. [2026-02-19T22:46:05.319Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T22:46:07.581Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T22:46:10.551Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T22:46:12.821Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T22:46:14.501Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T22:46:16.169Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T22:46:18.452Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T22:46:20.137Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T22:46:20.137Z] 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. [2026-02-19T22:46:20.137Z] The best model improves the baseline by 14.34%. [2026-02-19T22:46:20.470Z] Top recommended movies for user id 72: [2026-02-19T22:46:20.470Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T22:46:20.470Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T22:46:20.470Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T22:46:20.470Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T22:46:20.470Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T22:46:20.470Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (17868.287 ms) ====== [2026-02-19T22:46:20.470Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-19T22:46:20.470Z] GC before operation: completed in 172.191 ms, heap usage 214.056 MB -> 88.117 MB. [2026-02-19T22:46:23.452Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T22:46:25.724Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T22:46:28.694Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T22:46:30.966Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T22:46:32.125Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T22:46:33.795Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T22:46:35.467Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T22:46:37.226Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T22:46:37.226Z] 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. [2026-02-19T22:46:37.226Z] The best model improves the baseline by 14.34%. [2026-02-19T22:46:37.226Z] Top recommended movies for user id 72: [2026-02-19T22:46:37.226Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T22:46:37.226Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T22:46:37.226Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T22:46:37.226Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T22:46:37.226Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T22:46:37.226Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (16834.415 ms) ====== [2026-02-19T22:46:37.226Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-19T22:46:37.558Z] GC before operation: completed in 177.749 ms, heap usage 625.095 MB -> 92.204 MB. [2026-02-19T22:46:40.554Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T22:46:42.826Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T22:46:45.809Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T22:46:48.078Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T22:46:49.238Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T22:46:50.907Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T22:46:52.573Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T22:46:53.724Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T22:46:54.055Z] 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. [2026-02-19T22:46:54.055Z] The best model improves the baseline by 14.34%. [2026-02-19T22:46:54.389Z] Top recommended movies for user id 72: [2026-02-19T22:46:54.389Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T22:46:54.389Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T22:46:54.389Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T22:46:54.389Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T22:46:54.390Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T22:46:54.390Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (16748.314 ms) ====== [2026-02-19T22:46:54.390Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-19T22:46:54.390Z] GC before operation: completed in 170.095 ms, heap usage 318.241 MB -> 88.478 MB. [2026-02-19T22:46:57.372Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T22:46:59.647Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T22:47:02.013Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T22:47:04.286Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T22:47:05.960Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T22:47:07.116Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T22:47:08.789Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T22:47:09.950Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T22:47:10.281Z] 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. [2026-02-19T22:47:10.281Z] The best model improves the baseline by 14.34%. [2026-02-19T22:47:10.617Z] Top recommended movies for user id 72: [2026-02-19T22:47:10.617Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T22:47:10.617Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T22:47:10.617Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T22:47:10.617Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T22:47:10.617Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T22:47:10.617Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (15998.648 ms) ====== [2026-02-19T22:47:10.617Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-19T22:47:10.617Z] GC before operation: completed in 172.244 ms, heap usage 238.666 MB -> 88.708 MB. [2026-02-19T22:47:12.884Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T22:47:15.862Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T22:47:18.143Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T22:47:21.123Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T22:47:22.805Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T22:47:23.986Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T22:47:25.681Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T22:47:26.831Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T22:47:27.161Z] 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. [2026-02-19T22:47:27.161Z] The best model improves the baseline by 14.34%. [2026-02-19T22:47:27.161Z] Top recommended movies for user id 72: [2026-02-19T22:47:27.161Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T22:47:27.161Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T22:47:27.161Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T22:47:27.161Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T22:47:27.161Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T22:47:27.161Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (16619.699 ms) ====== [2026-02-19T22:47:27.161Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-19T22:47:27.494Z] GC before operation: completed in 171.167 ms, heap usage 423.406 MB -> 88.945 MB. [2026-02-19T22:47:29.773Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T22:47:32.759Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T22:47:35.016Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T22:47:36.676Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T22:47:38.338Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T22:47:40.001Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T22:47:41.684Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T22:47:42.837Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T22:47:43.170Z] 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. [2026-02-19T22:47:43.170Z] The best model improves the baseline by 14.34%. [2026-02-19T22:47:43.170Z] Top recommended movies for user id 72: [2026-02-19T22:47:43.170Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T22:47:43.170Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T22:47:43.170Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T22:47:43.170Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T22:47:43.170Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T22:47:43.170Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (15867.536 ms) ====== [2026-02-19T22:47:43.170Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-19T22:47:43.501Z] GC before operation: completed in 165.335 ms, heap usage 219.614 MB -> 88.903 MB. [2026-02-19T22:47:45.768Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T22:47:48.044Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T22:47:51.085Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T22:47:52.753Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T22:47:54.457Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T22:47:55.608Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T22:47:57.276Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T22:47:58.433Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T22:47:58.763Z] 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. [2026-02-19T22:47:58.763Z] The best model improves the baseline by 14.34%. [2026-02-19T22:47:59.096Z] Top recommended movies for user id 72: [2026-02-19T22:47:59.096Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T22:47:59.096Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T22:47:59.096Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T22:47:59.096Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T22:47:59.096Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T22:47:59.096Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (15576.754 ms) ====== [2026-02-19T22:47:59.096Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-19T22:47:59.096Z] GC before operation: completed in 163.325 ms, heap usage 404.894 MB -> 90.497 MB. [2026-02-19T22:48:02.062Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T22:48:04.322Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T22:48:07.291Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T22:48:10.271Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T22:48:11.432Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T22:48:13.132Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T22:48:14.809Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T22:48:16.483Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T22:48:16.483Z] 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. [2026-02-19T22:48:16.483Z] The best model improves the baseline by 14.34%. [2026-02-19T22:48:16.814Z] Top recommended movies for user id 72: [2026-02-19T22:48:16.814Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T22:48:16.814Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T22:48:16.814Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T22:48:16.814Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T22:48:16.814Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T22:48:16.814Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (17639.876 ms) ====== [2026-02-19T22:48:16.814Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-19T22:48:17.148Z] GC before operation: completed in 158.435 ms, heap usage 176.845 MB -> 88.786 MB. [2026-02-19T22:48:20.117Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T22:48:23.087Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T22:48:25.356Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T22:48:28.330Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T22:48:29.483Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T22:48:31.157Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T22:48:32.822Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T22:48:34.493Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T22:48:34.821Z] 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. [2026-02-19T22:48:34.821Z] The best model improves the baseline by 14.34%. [2026-02-19T22:48:34.821Z] Top recommended movies for user id 72: [2026-02-19T22:48:34.821Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T22:48:34.821Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T22:48:34.821Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T22:48:34.821Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T22:48:34.821Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T22:48:34.821Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (17936.337 ms) ====== [2026-02-19T22:48:34.821Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-19T22:48:35.158Z] GC before operation: completed in 160.402 ms, heap usage 452.467 MB -> 92.149 MB. [2026-02-19T22:48:38.200Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T22:48:40.479Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T22:48:42.750Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T22:48:45.014Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T22:48:46.674Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T22:48:47.827Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T22:48:49.488Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T22:48:50.640Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T22:48:50.971Z] 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. [2026-02-19T22:48:50.971Z] The best model improves the baseline by 14.34%. [2026-02-19T22:48:50.971Z] Top recommended movies for user id 72: [2026-02-19T22:48:50.971Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T22:48:50.971Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T22:48:50.971Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T22:48:50.971Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T22:48:50.971Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T22:48:50.971Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (15946.184 ms) ====== [2026-02-19T22:48:50.971Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-19T22:48:51.305Z] GC before operation: completed in 167.497 ms, heap usage 451.808 MB -> 92.397 MB. [2026-02-19T22:48:54.273Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T22:48:55.940Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T22:48:58.909Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T22:49:00.647Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T22:49:02.319Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T22:49:03.476Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T22:49:05.142Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T22:49:06.304Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T22:49:06.634Z] 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. [2026-02-19T22:49:06.634Z] The best model improves the baseline by 14.34%. [2026-02-19T22:49:06.970Z] Top recommended movies for user id 72: [2026-02-19T22:49:06.970Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T22:49:06.970Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T22:49:06.970Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T22:49:06.970Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T22:49:06.970Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T22:49:06.970Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (15627.527 ms) ====== [2026-02-19T22:49:06.970Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-19T22:49:06.970Z] GC before operation: completed in 161.231 ms, heap usage 316.912 MB -> 89.079 MB. [2026-02-19T22:49:09.246Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T22:49:11.511Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T22:49:14.484Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T22:49:16.154Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T22:49:17.820Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T22:49:18.974Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T22:49:20.647Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T22:49:21.803Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T22:49:22.136Z] 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. [2026-02-19T22:49:22.136Z] The best model improves the baseline by 14.34%. [2026-02-19T22:49:22.136Z] Top recommended movies for user id 72: [2026-02-19T22:49:22.136Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T22:49:22.136Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T22:49:22.136Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T22:49:22.136Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T22:49:22.136Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T22:49:22.136Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (15191.376 ms) ====== [2026-02-19T22:49:22.136Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-19T22:49:22.467Z] GC before operation: completed in 168.434 ms, heap usage 116.022 MB -> 89.906 MB. [2026-02-19T22:49:24.765Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T22:49:27.042Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T22:49:29.312Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T22:49:31.582Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T22:49:32.738Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T22:49:33.892Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T22:49:35.565Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T22:49:36.721Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T22:49:37.055Z] 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. [2026-02-19T22:49:37.055Z] The best model improves the baseline by 14.34%. [2026-02-19T22:49:37.055Z] Top recommended movies for user id 72: [2026-02-19T22:49:37.055Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T22:49:37.055Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T22:49:37.055Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T22:49:37.055Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T22:49:37.055Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T22:49:37.055Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (14748.266 ms) ====== [2026-02-19T22:49:37.055Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-19T22:49:37.387Z] GC before operation: completed in 177.981 ms, heap usage 724.938 MB -> 93.396 MB. [2026-02-19T22:49:39.683Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T22:49:41.948Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T22:49:44.219Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T22:49:46.511Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T22:49:47.672Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T22:49:49.342Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T22:49:50.501Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T22:49:52.175Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T22:49:52.175Z] 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. [2026-02-19T22:49:52.175Z] The best model improves the baseline by 14.34%. [2026-02-19T22:49:52.506Z] Top recommended movies for user id 72: [2026-02-19T22:49:52.506Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T22:49:52.506Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T22:49:52.506Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T22:49:52.506Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T22:49:52.506Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T22:49:52.506Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (15053.514 ms) ====== [2026-02-19T22:49:52.506Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-19T22:49:52.506Z] GC before operation: completed in 161.612 ms, heap usage 420.883 MB -> 89.229 MB. [2026-02-19T22:49:54.776Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T22:49:57.065Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T22:49:59.338Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T22:50:01.613Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T22:50:02.770Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T22:50:04.439Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T22:50:05.591Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T22:50:06.747Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T22:50:07.077Z] 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. [2026-02-19T22:50:07.077Z] The best model improves the baseline by 14.34%. [2026-02-19T22:50:07.412Z] Top recommended movies for user id 72: [2026-02-19T22:50:07.412Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T22:50:07.412Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T22:50:07.412Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T22:50:07.412Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T22:50:07.412Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T22:50:07.412Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (14789.716 ms) ====== [2026-02-19T22:50:07.412Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-19T22:50:07.412Z] GC before operation: completed in 159.846 ms, heap usage 402.678 MB -> 89.256 MB. [2026-02-19T22:50:09.761Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T22:50:12.029Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T22:50:14.331Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T22:50:16.652Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T22:50:17.810Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T22:50:19.495Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T22:50:20.652Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T22:50:22.346Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T22:50:22.346Z] 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. [2026-02-19T22:50:22.346Z] The best model improves the baseline by 14.34%. [2026-02-19T22:50:22.346Z] Top recommended movies for user id 72: [2026-02-19T22:50:22.346Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T22:50:22.346Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T22:50:22.346Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T22:50:22.346Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T22:50:22.346Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T22:50:22.346Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (14959.732 ms) ====== [2026-02-19T22:50:22.346Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2026-02-19T22:50:22.676Z] GC before operation: completed in 178.415 ms, heap usage 608.654 MB -> 92.691 MB. [2026-02-19T22:50:24.948Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T22:50:27.238Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T22:50:29.509Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T22:50:31.845Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T22:50:33.005Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T22:50:34.704Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T22:50:35.859Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T22:50:37.529Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T22:50:37.529Z] 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. [2026-02-19T22:50:37.530Z] The best model improves the baseline by 14.34%. [2026-02-19T22:50:37.530Z] Top recommended movies for user id 72: [2026-02-19T22:50:37.530Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T22:50:37.530Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T22:50:37.530Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T22:50:37.530Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T22:50:37.530Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T22:50:37.530Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (15056.589 ms) ====== [2026-02-19T22:50:37.530Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2026-02-19T22:50:37.860Z] GC before operation: completed in 164.740 ms, heap usage 451.084 MB -> 89.243 MB. [2026-02-19T22:50:40.145Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-19T22:50:42.425Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-19T22:50:44.783Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-19T22:50:47.055Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-19T22:50:48.207Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-19T22:50:49.369Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-19T22:50:51.034Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-19T22:50:52.189Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-19T22:50:52.542Z] 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. [2026-02-19T22:50:52.542Z] The best model improves the baseline by 14.34%. [2026-02-19T22:50:52.542Z] Top recommended movies for user id 72: [2026-02-19T22:50:52.542Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2026-02-19T22:50:52.542Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2026-02-19T22:50:52.542Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2026-02-19T22:50:52.542Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2026-02-19T22:50:52.542Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2026-02-19T22:50:52.542Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (14763.554 ms) ====== [2026-02-19T22:50:52.884Z] ----------------------------------- [2026-02-19T22:50:52.884Z] renaissance-movie-lens_0_PASSED [2026-02-19T22:50:52.884Z] ----------------------------------- [2026-02-19T22:50:52.884Z] [2026-02-19T22:50:52.884Z] TEST TEARDOWN: [2026-02-19T22:50:52.884Z] Nothing to be done for teardown. [2026-02-19T22:50:52.884Z] renaissance-movie-lens_0 Finish Time: Thu Feb 19 22:50:52 2026 Epoch Time (ms): 1771541452839