[2025-12-24T22:19:17.633Z] Running test renaissance-movie-lens_0 ... [2025-12-24T22:19:17.633Z] =============================================== [2025-12-24T22:19:17.633Z] renaissance-movie-lens_0 Start Time: Wed Dec 24 22:19:16 2025 Epoch Time (ms): 1766614756569 [2025-12-24T22:19:17.633Z] variation: NoOptions [2025-12-24T22:19:17.633Z] JVM_OPTIONS: [2025-12-24T22:19:17.633Z] { \ [2025-12-24T22:19:17.633Z] echo ""; echo "TEST SETUP:"; \ [2025-12-24T22:19:17.633Z] echo "Nothing to be done for setup."; \ [2025-12-24T22:19:17.633Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17666130134767/renaissance-movie-lens_0"; \ [2025-12-24T22:19:17.633Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17666130134767/renaissance-movie-lens_0"; \ [2025-12-24T22:19:17.633Z] echo ""; echo "TESTING:"; \ [2025-12-24T22:19:17.633Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_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_s390x_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17666130134767/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-12-24T22:19:17.633Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17666130134767/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-12-24T22:19:17.633Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-12-24T22:19:17.633Z] echo "Nothing to be done for teardown."; \ [2025-12-24T22:19:17.633Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17666130134767/TestTargetResult"; [2025-12-24T22:19:17.633Z] [2025-12-24T22:19:17.633Z] TEST SETUP: [2025-12-24T22:19:17.633Z] Nothing to be done for setup. [2025-12-24T22:19:17.633Z] [2025-12-24T22:19:17.633Z] TESTING: [2025-12-24T22:19:21.389Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-12-24T22:19:27.253Z] 22:19:26.766 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB. [2025-12-24T22:19:29.309Z] Got 100004 ratings from 671 users on 9066 movies. [2025-12-24T22:19:30.009Z] Training: 60056, validation: 20285, test: 19854 [2025-12-24T22:19:30.009Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-12-24T22:19:30.009Z] GC before operation: completed in 175.637 ms, heap usage 233.038 MB -> 75.758 MB. [2025-12-24T22:19:37.147Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:19:42.060Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:19:45.850Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:19:49.625Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:19:51.680Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:19:52.980Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:19:55.070Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:19:57.133Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:19:57.133Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572. [2025-12-24T22:19:57.782Z] The best model improves the baseline by 14.34%. [2025-12-24T22:19:57.782Z] Top recommended movies for user id 72: [2025-12-24T22:19:57.782Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T22:19:57.782Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T22:19:57.782Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T22:19:57.782Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T22:19:57.782Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T22:19:57.782Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (27549.872 ms) ====== [2025-12-24T22:19:57.782Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-12-24T22:19:57.782Z] GC before operation: completed in 257.747 ms, heap usage 229.791 MB -> 96.563 MB. [2025-12-24T22:20:01.526Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:20:04.370Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:20:07.200Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:20:09.238Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:20:10.579Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:20:12.771Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:20:14.325Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:20:15.627Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:20:16.244Z] 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. [2025-12-24T22:20:16.244Z] The best model improves the baseline by 14.34%. [2025-12-24T22:20:16.970Z] Top recommended movies for user id 72: [2025-12-24T22:20:16.970Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T22:20:16.970Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T22:20:16.970Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T22:20:16.970Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T22:20:16.970Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T22:20:16.970Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (18617.348 ms) ====== [2025-12-24T22:20:16.970Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-12-24T22:20:16.970Z] GC before operation: completed in 220.167 ms, heap usage 233.979 MB -> 90.934 MB. [2025-12-24T22:20:19.842Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:20:22.696Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:20:25.525Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:20:28.369Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:20:29.683Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:20:31.713Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:20:33.735Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:20:35.064Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:20:35.064Z] 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. [2025-12-24T22:20:35.064Z] The best model improves the baseline by 14.34%. [2025-12-24T22:20:35.064Z] Top recommended movies for user id 72: [2025-12-24T22:20:35.064Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T22:20:35.064Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T22:20:35.064Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T22:20:35.064Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T22:20:35.064Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T22:20:35.064Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (18543.677 ms) ====== [2025-12-24T22:20:35.064Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-12-24T22:20:35.718Z] GC before operation: completed in 176.210 ms, heap usage 231.796 MB -> 88.563 MB. [2025-12-24T22:20:38.577Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:20:40.612Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:20:43.497Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:20:46.690Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:20:47.330Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:20:48.641Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:20:50.713Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:20:52.027Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:20:52.027Z] 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. [2025-12-24T22:20:52.027Z] The best model improves the baseline by 14.34%. [2025-12-24T22:20:52.027Z] Top recommended movies for user id 72: [2025-12-24T22:20:52.027Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T22:20:52.027Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T22:20:52.027Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T22:20:52.027Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T22:20:52.027Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T22:20:52.027Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (16599.123 ms) ====== [2025-12-24T22:20:52.027Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-12-24T22:20:52.027Z] GC before operation: completed in 159.672 ms, heap usage 167.988 MB -> 88.766 MB. [2025-12-24T22:20:54.861Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:20:57.703Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:21:00.533Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:21:02.556Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:21:03.870Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:21:05.917Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:21:07.250Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:21:09.272Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:21:09.272Z] 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. [2025-12-24T22:21:09.272Z] The best model improves the baseline by 14.34%. [2025-12-24T22:21:09.272Z] Top recommended movies for user id 72: [2025-12-24T22:21:09.272Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T22:21:09.272Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T22:21:09.272Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T22:21:09.272Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T22:21:09.272Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T22:21:09.272Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (17143.410 ms) ====== [2025-12-24T22:21:09.272Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-12-24T22:21:09.910Z] GC before operation: completed in 206.084 ms, heap usage 235.830 MB -> 88.768 MB. [2025-12-24T22:21:12.762Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:21:14.793Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:21:17.659Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:21:19.729Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:21:21.032Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:21:22.349Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:21:24.388Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:21:25.678Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:21:25.678Z] 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. [2025-12-24T22:21:25.678Z] The best model improves the baseline by 14.34%. [2025-12-24T22:21:25.678Z] Top recommended movies for user id 72: [2025-12-24T22:21:25.678Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T22:21:25.678Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T22:21:25.678Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T22:21:25.678Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T22:21:25.678Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T22:21:25.678Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (16325.226 ms) ====== [2025-12-24T22:21:25.678Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-12-24T22:21:26.313Z] GC before operation: completed in 144.256 ms, heap usage 151.008 MB -> 89.072 MB. [2025-12-24T22:21:28.349Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:21:31.231Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:21:34.095Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:21:36.128Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:21:38.164Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:21:39.480Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:21:40.775Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:21:42.805Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:21:42.805Z] 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. [2025-12-24T22:21:42.805Z] The best model improves the baseline by 14.34%. [2025-12-24T22:21:42.805Z] Top recommended movies for user id 72: [2025-12-24T22:21:42.805Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T22:21:42.805Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T22:21:42.805Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T22:21:42.805Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T22:21:42.805Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T22:21:42.805Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (16776.161 ms) ====== [2025-12-24T22:21:42.805Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-12-24T22:21:42.805Z] GC before operation: completed in 163.561 ms, heap usage 217.370 MB -> 89.498 MB. [2025-12-24T22:21:45.652Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:21:48.504Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:21:50.817Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:21:52.841Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:21:54.150Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:21:56.229Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:21:57.551Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:21:58.881Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:21:58.881Z] 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. [2025-12-24T22:21:58.881Z] The best model improves the baseline by 14.34%. [2025-12-24T22:21:59.521Z] Top recommended movies for user id 72: [2025-12-24T22:21:59.521Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T22:21:59.521Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T22:21:59.521Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T22:21:59.521Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T22:21:59.521Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T22:21:59.521Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (16194.610 ms) ====== [2025-12-24T22:21:59.521Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-12-24T22:21:59.521Z] GC before operation: completed in 184.722 ms, heap usage 203.631 MB -> 89.243 MB. [2025-12-24T22:22:02.406Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:22:04.472Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:22:07.374Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:22:09.427Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:22:10.739Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:22:12.034Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:22:14.062Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:22:15.358Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:22:15.358Z] 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. [2025-12-24T22:22:15.358Z] The best model improves the baseline by 14.34%. [2025-12-24T22:22:15.982Z] Top recommended movies for user id 72: [2025-12-24T22:22:15.982Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T22:22:15.982Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T22:22:15.982Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T22:22:15.982Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T22:22:15.982Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T22:22:15.982Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (16392.004 ms) ====== [2025-12-24T22:22:15.982Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-12-24T22:22:15.982Z] GC before operation: completed in 185.601 ms, heap usage 162.198 MB -> 89.117 MB. [2025-12-24T22:22:18.890Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:22:21.288Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:22:24.165Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:22:27.009Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:22:28.320Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:22:29.619Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:22:31.665Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:22:32.976Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:22:33.611Z] 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. [2025-12-24T22:22:33.611Z] The best model improves the baseline by 14.34%. [2025-12-24T22:22:33.611Z] Top recommended movies for user id 72: [2025-12-24T22:22:33.611Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T22:22:33.611Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T22:22:33.611Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T22:22:33.611Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T22:22:33.611Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T22:22:33.611Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (17490.022 ms) ====== [2025-12-24T22:22:33.611Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-12-24T22:22:33.611Z] GC before operation: completed in 170.879 ms, heap usage 117.968 MB -> 89.276 MB. [2025-12-24T22:22:36.469Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:22:39.314Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:22:43.068Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:22:45.097Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:22:47.147Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:22:48.439Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:22:50.479Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:22:51.775Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:22:51.775Z] 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. [2025-12-24T22:22:51.775Z] The best model improves the baseline by 14.34%. [2025-12-24T22:22:52.411Z] Top recommended movies for user id 72: [2025-12-24T22:22:52.411Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T22:22:52.411Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T22:22:52.411Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T22:22:52.411Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T22:22:52.411Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T22:22:52.411Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (18501.616 ms) ====== [2025-12-24T22:22:52.411Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-12-24T22:22:52.411Z] GC before operation: completed in 159.647 ms, heap usage 446.145 MB -> 92.682 MB. [2025-12-24T22:22:54.862Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:22:57.749Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:22:59.779Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:23:02.622Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:23:04.715Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:23:06.021Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:23:07.323Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:23:08.624Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:23:09.254Z] 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. [2025-12-24T22:23:09.254Z] The best model improves the baseline by 14.34%. [2025-12-24T22:23:09.254Z] Top recommended movies for user id 72: [2025-12-24T22:23:09.254Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T22:23:09.254Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T22:23:09.254Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T22:23:09.254Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T22:23:09.254Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T22:23:09.254Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (16952.597 ms) ====== [2025-12-24T22:23:09.254Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-12-24T22:23:09.254Z] GC before operation: completed in 165.132 ms, heap usage 216.145 MB -> 89.271 MB. [2025-12-24T22:23:12.082Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:23:14.113Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:23:16.951Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:23:18.981Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:23:20.991Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:23:22.288Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:23:23.590Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:23:24.877Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:23:25.859Z] 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. [2025-12-24T22:23:25.859Z] The best model improves the baseline by 14.34%. [2025-12-24T22:23:25.859Z] Top recommended movies for user id 72: [2025-12-24T22:23:25.859Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T22:23:25.859Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T22:23:25.859Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T22:23:25.859Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T22:23:25.859Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T22:23:25.859Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (15934.569 ms) ====== [2025-12-24T22:23:25.859Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-12-24T22:23:25.859Z] GC before operation: completed in 194.648 ms, heap usage 166.239 MB -> 89.381 MB. [2025-12-24T22:23:27.901Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:23:29.952Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:23:32.803Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:23:34.861Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:23:36.881Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:23:37.500Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:23:39.523Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:23:40.829Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:23:40.829Z] 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. [2025-12-24T22:23:40.829Z] The best model improves the baseline by 14.34%. [2025-12-24T22:23:41.446Z] Top recommended movies for user id 72: [2025-12-24T22:23:41.446Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T22:23:41.446Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T22:23:41.446Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T22:23:41.446Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T22:23:41.446Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T22:23:41.446Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (15591.888 ms) ====== [2025-12-24T22:23:41.446Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-12-24T22:23:41.446Z] GC before operation: completed in 163.909 ms, heap usage 140.046 MB -> 89.174 MB. [2025-12-24T22:23:43.473Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:23:46.316Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:23:48.344Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:23:50.437Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:23:51.735Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:23:53.024Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:23:54.310Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:23:55.597Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:23:56.223Z] 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. [2025-12-24T22:23:56.223Z] The best model improves the baseline by 14.34%. [2025-12-24T22:23:56.223Z] Top recommended movies for user id 72: [2025-12-24T22:23:56.223Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T22:23:56.223Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T22:23:56.223Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T22:23:56.223Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T22:23:56.223Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T22:23:56.223Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (14913.734 ms) ====== [2025-12-24T22:23:56.223Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-12-24T22:23:56.223Z] GC before operation: completed in 183.622 ms, heap usage 244.038 MB -> 89.617 MB. [2025-12-24T22:23:59.096Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:24:01.122Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:24:03.166Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:24:05.181Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:24:06.471Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:24:07.761Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:24:09.886Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:24:10.529Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:24:11.162Z] 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. [2025-12-24T22:24:11.162Z] The best model improves the baseline by 14.34%. [2025-12-24T22:24:11.162Z] Top recommended movies for user id 72: [2025-12-24T22:24:11.162Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T22:24:11.162Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T22:24:11.162Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T22:24:11.162Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T22:24:11.162Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T22:24:11.162Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14654.871 ms) ====== [2025-12-24T22:24:11.162Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-12-24T22:24:11.162Z] GC before operation: completed in 149.108 ms, heap usage 237.062 MB -> 89.364 MB. [2025-12-24T22:24:13.986Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:24:16.003Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:24:18.033Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:24:20.053Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:24:22.068Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:24:23.354Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:24:24.654Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:24:25.951Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:24:25.952Z] 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. [2025-12-24T22:24:25.952Z] The best model improves the baseline by 14.34%. [2025-12-24T22:24:26.594Z] Top recommended movies for user id 72: [2025-12-24T22:24:26.594Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T22:24:26.594Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T22:24:26.594Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T22:24:26.594Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T22:24:26.594Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T22:24:26.594Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (15129.065 ms) ====== [2025-12-24T22:24:26.594Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-12-24T22:24:26.594Z] GC before operation: completed in 157.308 ms, heap usage 141.438 MB -> 89.393 MB. [2025-12-24T22:24:29.006Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:24:31.893Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:24:33.921Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:24:36.797Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:24:38.125Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:24:40.156Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:24:41.475Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:24:43.494Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:24:43.494Z] 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. [2025-12-24T22:24:43.494Z] The best model improves the baseline by 14.34%. [2025-12-24T22:24:43.494Z] Top recommended movies for user id 72: [2025-12-24T22:24:43.494Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T22:24:43.494Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T22:24:43.494Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T22:24:43.494Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T22:24:43.494Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T22:24:43.494Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (17043.266 ms) ====== [2025-12-24T22:24:43.494Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-12-24T22:24:44.112Z] GC before operation: completed in 239.957 ms, heap usage 345.729 MB -> 89.490 MB. [2025-12-24T22:24:46.161Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:24:49.003Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:24:51.840Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:24:53.866Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:24:55.206Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:24:55.825Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:24:57.845Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:24:59.150Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:24:59.150Z] 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. [2025-12-24T22:24:59.150Z] The best model improves the baseline by 14.34%. [2025-12-24T22:24:59.150Z] Top recommended movies for user id 72: [2025-12-24T22:24:59.150Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T22:24:59.150Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T22:24:59.150Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T22:24:59.150Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T22:24:59.150Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T22:24:59.150Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (15549.601 ms) ====== [2025-12-24T22:24:59.150Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-12-24T22:24:59.768Z] GC before operation: completed in 154.376 ms, heap usage 236.390 MB -> 89.388 MB. [2025-12-24T22:25:02.189Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-12-24T22:25:04.257Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-12-24T22:25:07.089Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-12-24T22:25:09.170Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-12-24T22:25:10.456Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-12-24T22:25:11.758Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-12-24T22:25:13.054Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-12-24T22:25:14.349Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-12-24T22:25:14.349Z] 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. [2025-12-24T22:25:14.349Z] The best model improves the baseline by 14.34%. [2025-12-24T22:25:14.981Z] Top recommended movies for user id 72: [2025-12-24T22:25:14.981Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-12-24T22:25:14.981Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-12-24T22:25:14.981Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-12-24T22:25:14.981Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-12-24T22:25:14.981Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-12-24T22:25:14.981Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (15183.800 ms) ====== [2025-12-24T22:25:14.981Z] ----------------------------------- [2025-12-24T22:25:14.981Z] renaissance-movie-lens_0_PASSED [2025-12-24T22:25:14.981Z] ----------------------------------- [2025-12-24T22:25:14.981Z] [2025-12-24T22:25:14.981Z] TEST TEARDOWN: [2025-12-24T22:25:14.981Z] Nothing to be done for teardown. [2025-12-24T22:25:14.981Z] renaissance-movie-lens_0 Finish Time: Wed Dec 24 22:25:14 2025 Epoch Time (ms): 1766615114927