[2025-08-25T23:00:24.894Z] Running test renaissance-movie-lens_0 ... [2025-08-25T23:00:24.894Z] =============================================== [2025-08-25T23:00:24.894Z] renaissance-movie-lens_0 Start Time: Mon Aug 25 23:00:24 2025 Epoch Time (ms): 1756162824234 [2025-08-25T23:00:24.894Z] variation: NoOptions [2025-08-25T23:00:24.894Z] JVM_OPTIONS: [2025-08-25T23:00:24.894Z] { \ [2025-08-25T23:00:24.894Z] echo ""; echo "TEST SETUP:"; \ [2025-08-25T23:00:24.894Z] echo "Nothing to be done for setup."; \ [2025-08-25T23:00:24.894Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17561603909544/renaissance-movie-lens_0"; \ [2025-08-25T23:00:24.894Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17561603909544/renaissance-movie-lens_0"; \ [2025-08-25T23:00:24.894Z] echo ""; echo "TESTING:"; \ [2025-08-25T23:00:24.894Z] "/home/jenkins/workspace/Test_openjdk11_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_openjdk11_hs_extended.perf_s390x_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17561603909544/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-08-25T23:00:24.894Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17561603909544/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-08-25T23:00:24.894Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-08-25T23:00:24.894Z] echo "Nothing to be done for teardown."; \ [2025-08-25T23:00:24.894Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17561603909544/TestTargetResult"; [2025-08-25T23:00:24.894Z] [2025-08-25T23:00:24.894Z] TEST SETUP: [2025-08-25T23:00:24.894Z] Nothing to be done for setup. [2025-08-25T23:00:24.894Z] [2025-08-25T23:00:24.894Z] TESTING: [2025-08-25T23:00:31.949Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads. [2025-08-25T23:00:41.053Z] 23:00:40.815 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. [2025-08-25T23:00:44.726Z] Got 100004 ratings from 671 users on 9066 movies. [2025-08-25T23:00:46.005Z] Training: 60056, validation: 20285, test: 19854 [2025-08-25T23:00:46.005Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-08-25T23:00:46.623Z] GC before operation: completed in 504.765 ms, heap usage 137.287 MB -> 74.328 MB. [2025-08-25T23:00:55.126Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T23:01:00.930Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T23:01:08.049Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T23:01:13.831Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T23:01:16.680Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T23:01:19.543Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T23:01:22.719Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T23:01:26.485Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T23:01:26.485Z] 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. [2025-08-25T23:01:26.485Z] The best model improves the baseline by 14.34%. [2025-08-25T23:01:26.485Z] Top recommended movies for user id 72: [2025-08-25T23:01:26.485Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-08-25T23:01:26.485Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-08-25T23:01:26.485Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-08-25T23:01:26.485Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-08-25T23:01:26.485Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-08-25T23:01:26.485Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (40331.115 ms) ====== [2025-08-25T23:01:26.485Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-08-25T23:01:27.086Z] GC before operation: completed in 324.598 ms, heap usage 171.740 MB -> 84.875 MB. [2025-08-25T23:01:31.715Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T23:01:37.429Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T23:01:43.241Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T23:01:46.970Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T23:01:49.768Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T23:01:52.625Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T23:01:55.400Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T23:01:58.186Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T23:01:58.816Z] 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. [2025-08-25T23:01:58.816Z] The best model improves the baseline by 14.34%. [2025-08-25T23:01:59.412Z] Top recommended movies for user id 72: [2025-08-25T23:01:59.412Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-08-25T23:01:59.412Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-08-25T23:01:59.412Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-08-25T23:01:59.412Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-08-25T23:01:59.412Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-08-25T23:01:59.412Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (32219.290 ms) ====== [2025-08-25T23:01:59.412Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-08-25T23:01:59.412Z] GC before operation: completed in 303.324 ms, heap usage 148.806 MB -> 86.666 MB. [2025-08-25T23:02:04.165Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T23:02:09.179Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T23:02:14.990Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T23:02:18.671Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T23:02:22.342Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T23:02:25.104Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T23:02:27.902Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T23:02:30.684Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T23:02:31.287Z] 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. [2025-08-25T23:02:31.287Z] The best model improves the baseline by 14.34%. [2025-08-25T23:02:31.890Z] Top recommended movies for user id 72: [2025-08-25T23:02:31.890Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-08-25T23:02:31.890Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-08-25T23:02:31.890Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-08-25T23:02:31.890Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-08-25T23:02:31.890Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-08-25T23:02:31.890Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (32020.059 ms) ====== [2025-08-25T23:02:31.890Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-08-25T23:02:31.890Z] GC before operation: completed in 235.980 ms, heap usage 148.840 MB -> 87.224 MB. [2025-08-25T23:02:36.554Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T23:02:41.182Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T23:02:45.834Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T23:02:49.829Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T23:02:51.879Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T23:02:54.674Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T23:02:57.492Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T23:03:00.252Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T23:03:00.252Z] 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. [2025-08-25T23:03:00.252Z] The best model improves the baseline by 14.34%. [2025-08-25T23:03:00.879Z] Top recommended movies for user id 72: [2025-08-25T23:03:00.879Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-08-25T23:03:00.879Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-08-25T23:03:00.879Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-08-25T23:03:00.879Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-08-25T23:03:00.879Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-08-25T23:03:00.879Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (28731.188 ms) ====== [2025-08-25T23:03:00.879Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-08-25T23:03:00.879Z] GC before operation: completed in 274.712 ms, heap usage 96.635 MB -> 87.724 MB. [2025-08-25T23:03:05.558Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T23:03:09.221Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T23:03:13.874Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T23:03:18.616Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T23:03:21.375Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T23:03:24.126Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T23:03:26.920Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T23:03:30.052Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T23:03:30.052Z] 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. [2025-08-25T23:03:30.052Z] The best model improves the baseline by 14.34%. [2025-08-25T23:03:30.643Z] Top recommended movies for user id 72: [2025-08-25T23:03:30.643Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-08-25T23:03:30.643Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-08-25T23:03:30.643Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-08-25T23:03:30.643Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-08-25T23:03:30.643Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-08-25T23:03:30.643Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (29514.277 ms) ====== [2025-08-25T23:03:30.643Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-08-25T23:03:30.643Z] GC before operation: completed in 178.364 ms, heap usage 227.256 MB -> 87.563 MB. [2025-08-25T23:03:34.270Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T23:03:37.858Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T23:03:42.436Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T23:03:46.065Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T23:03:48.807Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T23:03:51.590Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T23:03:54.365Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T23:03:57.106Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T23:03:57.106Z] 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. [2025-08-25T23:03:57.106Z] The best model improves the baseline by 14.34%. [2025-08-25T23:03:57.106Z] Top recommended movies for user id 72: [2025-08-25T23:03:57.106Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-08-25T23:03:57.106Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-08-25T23:03:57.106Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-08-25T23:03:57.106Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-08-25T23:03:57.106Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-08-25T23:03:57.107Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (26770.877 ms) ====== [2025-08-25T23:03:57.107Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-08-25T23:03:57.705Z] GC before operation: completed in 296.011 ms, heap usage 147.454 MB -> 87.796 MB. [2025-08-25T23:04:01.363Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T23:04:06.394Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T23:04:10.171Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T23:04:13.793Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T23:04:16.669Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T23:04:18.615Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T23:04:21.410Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T23:04:23.396Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T23:04:24.001Z] 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. [2025-08-25T23:04:24.001Z] The best model improves the baseline by 14.34%. [2025-08-25T23:04:24.001Z] Top recommended movies for user id 72: [2025-08-25T23:04:24.001Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-08-25T23:04:24.001Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-08-25T23:04:24.001Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-08-25T23:04:24.001Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-08-25T23:04:24.001Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-08-25T23:04:24.001Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (26313.639 ms) ====== [2025-08-25T23:04:24.001Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-08-25T23:04:24.001Z] GC before operation: completed in 290.735 ms, heap usage 115.080 MB -> 87.643 MB. [2025-08-25T23:04:27.965Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T23:04:31.691Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T23:04:35.333Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T23:04:39.944Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T23:04:41.955Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T23:04:43.963Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T23:04:46.762Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T23:04:49.006Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T23:04:49.605Z] 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. [2025-08-25T23:04:49.605Z] The best model improves the baseline by 14.34%. [2025-08-25T23:04:50.248Z] Top recommended movies for user id 72: [2025-08-25T23:04:50.249Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-08-25T23:04:50.249Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-08-25T23:04:50.249Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-08-25T23:04:50.249Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-08-25T23:04:50.249Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-08-25T23:04:50.249Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (25771.919 ms) ====== [2025-08-25T23:04:50.249Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-08-25T23:04:50.249Z] GC before operation: completed in 216.377 ms, heap usage 147.524 MB -> 87.936 MB. [2025-08-25T23:04:55.016Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T23:04:58.726Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T23:05:03.395Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T23:05:08.045Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T23:05:10.002Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T23:05:12.799Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T23:05:14.765Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T23:05:17.601Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T23:05:18.200Z] 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. [2025-08-25T23:05:18.200Z] The best model improves the baseline by 14.34%. [2025-08-25T23:05:18.200Z] Top recommended movies for user id 72: [2025-08-25T23:05:18.200Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-08-25T23:05:18.200Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-08-25T23:05:18.200Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-08-25T23:05:18.200Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-08-25T23:05:18.200Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-08-25T23:05:18.200Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (28032.379 ms) ====== [2025-08-25T23:05:18.200Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-08-25T23:05:18.200Z] GC before operation: completed in 259.361 ms, heap usage 303.809 MB -> 88.004 MB. [2025-08-25T23:05:22.834Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T23:05:26.539Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T23:05:30.567Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T23:05:34.204Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T23:05:36.169Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T23:05:38.970Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T23:05:41.792Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T23:05:44.330Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T23:05:44.330Z] 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. [2025-08-25T23:05:44.330Z] The best model improves the baseline by 14.34%. [2025-08-25T23:05:45.019Z] Top recommended movies for user id 72: [2025-08-25T23:05:45.019Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-08-25T23:05:45.019Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-08-25T23:05:45.019Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-08-25T23:05:45.019Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-08-25T23:05:45.019Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-08-25T23:05:45.019Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (26248.790 ms) ====== [2025-08-25T23:05:45.019Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-08-25T23:05:45.019Z] GC before operation: completed in 277.893 ms, heap usage 160.401 MB -> 88.022 MB. [2025-08-25T23:05:48.675Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T23:05:53.323Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T23:05:56.935Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T23:06:00.582Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T23:06:02.545Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T23:06:05.294Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T23:06:08.102Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T23:06:10.994Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T23:06:10.994Z] 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. [2025-08-25T23:06:10.994Z] The best model improves the baseline by 14.34%. [2025-08-25T23:06:10.994Z] Top recommended movies for user id 72: [2025-08-25T23:06:10.994Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-08-25T23:06:10.994Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-08-25T23:06:10.994Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-08-25T23:06:10.994Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-08-25T23:06:10.994Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-08-25T23:06:10.994Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (26074.103 ms) ====== [2025-08-25T23:06:10.994Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-08-25T23:06:11.696Z] GC before operation: completed in 279.031 ms, heap usage 274.314 MB -> 87.920 MB. [2025-08-25T23:06:15.896Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T23:06:20.526Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T23:06:25.308Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T23:06:29.020Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T23:06:31.786Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T23:06:34.545Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T23:06:37.358Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T23:06:40.142Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T23:06:40.775Z] 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. [2025-08-25T23:06:40.775Z] The best model improves the baseline by 14.34%. [2025-08-25T23:06:40.775Z] Top recommended movies for user id 72: [2025-08-25T23:06:40.775Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-08-25T23:06:40.775Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-08-25T23:06:40.775Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-08-25T23:06:40.775Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-08-25T23:06:40.775Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-08-25T23:06:40.775Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (29376.161 ms) ====== [2025-08-25T23:06:40.775Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-08-25T23:06:40.775Z] GC before operation: completed in 245.729 ms, heap usage 149.271 MB -> 87.942 MB. [2025-08-25T23:06:44.442Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T23:06:49.115Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T23:06:52.842Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T23:06:57.682Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T23:07:01.475Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T23:07:03.539Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T23:07:07.286Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T23:07:09.338Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T23:07:09.997Z] 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. [2025-08-25T23:07:09.997Z] The best model improves the baseline by 14.34%. [2025-08-25T23:07:09.997Z] Top recommended movies for user id 72: [2025-08-25T23:07:09.997Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-08-25T23:07:09.997Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-08-25T23:07:09.997Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-08-25T23:07:09.997Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-08-25T23:07:09.997Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-08-25T23:07:09.997Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (29161.323 ms) ====== [2025-08-25T23:07:09.997Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-08-25T23:07:10.605Z] GC before operation: completed in 330.621 ms, heap usage 359.127 MB -> 88.313 MB. [2025-08-25T23:07:15.431Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T23:07:20.717Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T23:07:25.441Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T23:07:29.186Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T23:07:32.018Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T23:07:34.014Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T23:07:36.849Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T23:07:39.660Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T23:07:39.660Z] 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. [2025-08-25T23:07:39.660Z] The best model improves the baseline by 14.34%. [2025-08-25T23:07:39.660Z] Top recommended movies for user id 72: [2025-08-25T23:07:39.660Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-08-25T23:07:39.660Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-08-25T23:07:39.660Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-08-25T23:07:39.660Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-08-25T23:07:39.660Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-08-25T23:07:39.660Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (29435.352 ms) ====== [2025-08-25T23:07:39.660Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-08-25T23:07:40.279Z] GC before operation: completed in 246.129 ms, heap usage 147.931 MB -> 87.931 MB. [2025-08-25T23:07:44.986Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T23:07:48.660Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T23:07:53.344Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T23:07:57.534Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T23:08:01.313Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T23:08:03.340Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T23:08:07.145Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T23:08:09.247Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T23:08:09.866Z] 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. [2025-08-25T23:08:09.866Z] The best model improves the baseline by 14.34%. [2025-08-25T23:08:09.866Z] Top recommended movies for user id 72: [2025-08-25T23:08:09.866Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-08-25T23:08:09.866Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-08-25T23:08:09.866Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-08-25T23:08:09.866Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-08-25T23:08:09.866Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-08-25T23:08:09.866Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (29927.604 ms) ====== [2025-08-25T23:08:09.866Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-08-25T23:08:10.459Z] GC before operation: completed in 284.902 ms, heap usage 300.446 MB -> 88.258 MB. [2025-08-25T23:08:15.184Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T23:08:19.036Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T23:08:23.941Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T23:08:29.815Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T23:08:32.599Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T23:08:35.029Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T23:08:37.820Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T23:08:40.652Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T23:08:40.652Z] 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. [2025-08-25T23:08:40.652Z] The best model improves the baseline by 14.34%. [2025-08-25T23:08:40.652Z] Top recommended movies for user id 72: [2025-08-25T23:08:40.652Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-08-25T23:08:40.652Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-08-25T23:08:40.652Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-08-25T23:08:40.652Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-08-25T23:08:40.652Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-08-25T23:08:40.652Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (30387.577 ms) ====== [2025-08-25T23:08:40.652Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-08-25T23:08:41.262Z] GC before operation: completed in 254.594 ms, heap usage 200.502 MB -> 87.960 MB. [2025-08-25T23:08:44.924Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T23:08:48.589Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T23:08:53.279Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T23:08:57.349Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T23:09:00.171Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T23:09:02.217Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T23:09:05.014Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T23:09:07.768Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T23:09:07.768Z] 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. [2025-08-25T23:09:07.768Z] The best model improves the baseline by 14.34%. [2025-08-25T23:09:07.768Z] Top recommended movies for user id 72: [2025-08-25T23:09:07.768Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-08-25T23:09:07.768Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-08-25T23:09:07.768Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-08-25T23:09:07.768Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-08-25T23:09:07.768Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-08-25T23:09:07.768Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (26980.636 ms) ====== [2025-08-25T23:09:07.768Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-08-25T23:09:08.406Z] GC before operation: completed in 197.416 ms, heap usage 147.677 MB -> 88.075 MB. [2025-08-25T23:09:12.032Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T23:09:16.125Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T23:09:19.804Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T23:09:23.442Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T23:09:25.505Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T23:09:27.484Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T23:09:30.254Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T23:09:32.225Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T23:09:32.825Z] 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. [2025-08-25T23:09:32.825Z] The best model improves the baseline by 14.34%. [2025-08-25T23:09:32.825Z] Top recommended movies for user id 72: [2025-08-25T23:09:32.825Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-08-25T23:09:32.825Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-08-25T23:09:32.825Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-08-25T23:09:32.825Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-08-25T23:09:32.825Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-08-25T23:09:32.825Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (24620.969 ms) ====== [2025-08-25T23:09:32.825Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-08-25T23:09:32.825Z] GC before operation: completed in 248.366 ms, heap usage 312.219 MB -> 88.057 MB. [2025-08-25T23:09:36.807Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T23:09:41.530Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T23:09:45.146Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T23:09:48.746Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T23:09:49.989Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T23:09:51.950Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T23:09:55.031Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T23:09:57.078Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T23:09:57.078Z] 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. [2025-08-25T23:09:57.078Z] The best model improves the baseline by 14.34%. [2025-08-25T23:09:57.078Z] Top recommended movies for user id 72: [2025-08-25T23:09:57.078Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-08-25T23:09:57.078Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-08-25T23:09:57.078Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-08-25T23:09:57.078Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-08-25T23:09:57.078Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-08-25T23:09:57.078Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (24072.917 ms) ====== [2025-08-25T23:09:57.078Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-08-25T23:09:57.078Z] GC before operation: completed in 174.328 ms, heap usage 171.786 MB -> 88.020 MB. [2025-08-25T23:10:00.697Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-25T23:10:04.316Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-25T23:10:07.936Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-25T23:10:11.628Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-25T23:10:13.599Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-25T23:10:15.626Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-25T23:10:17.592Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-25T23:10:20.329Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-25T23:10:20.329Z] 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. [2025-08-25T23:10:20.329Z] The best model improves the baseline by 14.34%. [2025-08-25T23:10:20.329Z] Top recommended movies for user id 72: [2025-08-25T23:10:20.329Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504) [2025-08-25T23:10:20.329Z] 2: Goat, The (1921) (rating: 4.687, id: 83318) [2025-08-25T23:10:20.329Z] 3: Play House, The (1921) (rating: 4.687, id: 83359) [2025-08-25T23:10:20.329Z] 4: Cops (1922) (rating: 4.687, id: 83411) [2025-08-25T23:10:20.329Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530) [2025-08-25T23:10:20.329Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (23112.879 ms) ====== [2025-08-25T23:10:20.939Z] ----------------------------------- [2025-08-25T23:10:20.939Z] renaissance-movie-lens_0_PASSED [2025-08-25T23:10:20.939Z] ----------------------------------- [2025-08-25T23:10:20.939Z] [2025-08-25T23:10:20.939Z] TEST TEARDOWN: [2025-08-25T23:10:20.939Z] Nothing to be done for teardown. [2025-08-25T23:10:20.939Z] renaissance-movie-lens_0 Finish Time: Mon Aug 25 23:10:20 2025 Epoch Time (ms): 1756163420701