[2025-08-30T16:42:31.055Z] Running test renaissance-movie-lens_0 ... [2025-08-30T16:42:31.055Z] =============================================== [2025-08-30T16:42:31.055Z] renaissance-movie-lens_0 Start Time: Sat Aug 30 16:42:30 2025 Epoch Time (ms): 1756572150164 [2025-08-30T16:42:31.055Z] variation: NoOptions [2025-08-30T16:42:31.055Z] JVM_OPTIONS: [2025-08-30T16:42:31.055Z] { \ [2025-08-30T16:42:31.055Z] echo ""; echo "TEST SETUP:"; \ [2025-08-30T16:42:31.055Z] echo "Nothing to be done for setup."; \ [2025-08-30T16:42:31.055Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17565707193831/renaissance-movie-lens_0"; \ [2025-08-30T16:42:31.055Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17565707193831/renaissance-movie-lens_0"; \ [2025-08-30T16:42:31.055Z] echo ""; echo "TESTING:"; \ [2025-08-30T16:42:31.055Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_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_ppc64le_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17565707193831/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-08-30T16:42:31.055Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17565707193831/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-08-30T16:42:31.055Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-08-30T16:42:31.055Z] echo "Nothing to be done for teardown."; \ [2025-08-30T16:42:31.055Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_ppc64le_linux/aqa-tests/TKG/../TKG/output_17565707193831/TestTargetResult"; [2025-08-30T16:42:31.055Z] [2025-08-30T16:42:31.055Z] TEST SETUP: [2025-08-30T16:42:31.055Z] Nothing to be done for setup. [2025-08-30T16:42:31.055Z] [2025-08-30T16:42:31.055Z] TESTING: [2025-08-30T16:42:36.416Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-08-30T16:42:41.776Z] 16:42:41.580 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-08-30T16:42:44.785Z] Got 100004 ratings from 671 users on 9066 movies. [2025-08-30T16:42:44.785Z] Training: 60056, validation: 20285, test: 19854 [2025-08-30T16:42:44.785Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-08-30T16:42:44.785Z] GC before operation: completed in 127.460 ms, heap usage 321.520 MB -> 75.835 MB. [2025-08-30T16:42:50.850Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T16:42:53.862Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T16:42:56.874Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T16:42:59.904Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T16:43:01.854Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T16:43:03.813Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T16:43:04.762Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T16:43:06.711Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T16:43:06.711Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-08-30T16:43:06.711Z] The best model improves the baseline by 14.52%. [2025-08-30T16:43:06.711Z] Top recommended movies for user id 72: [2025-08-30T16:43:06.711Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-30T16:43:06.711Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-30T16:43:06.711Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-30T16:43:06.711Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-30T16:43:06.711Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-30T16:43:06.711Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (22129.784 ms) ====== [2025-08-30T16:43:06.711Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-08-30T16:43:07.720Z] GC before operation: completed in 173.231 ms, heap usage 611.583 MB -> 97.972 MB. [2025-08-30T16:43:09.670Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T16:43:12.680Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T16:43:14.629Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T16:43:17.635Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T16:43:18.591Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T16:43:20.541Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T16:43:21.490Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T16:43:23.440Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T16:43:23.440Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-08-30T16:43:23.440Z] The best model improves the baseline by 14.52%. [2025-08-30T16:43:24.390Z] Top recommended movies for user id 72: [2025-08-30T16:43:24.390Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-30T16:43:24.390Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-30T16:43:24.390Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-30T16:43:24.390Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-30T16:43:24.390Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-30T16:43:24.390Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (16687.274 ms) ====== [2025-08-30T16:43:24.390Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-08-30T16:43:24.390Z] GC before operation: completed in 122.605 ms, heap usage 109.071 MB -> 88.371 MB. [2025-08-30T16:43:26.391Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T16:43:29.415Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T16:43:31.364Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T16:43:34.375Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T16:43:35.326Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T16:43:37.281Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T16:43:38.760Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T16:43:39.885Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T16:43:40.834Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-08-30T16:43:40.834Z] The best model improves the baseline by 14.52%. [2025-08-30T16:43:40.834Z] Top recommended movies for user id 72: [2025-08-30T16:43:40.834Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-30T16:43:40.834Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-30T16:43:40.834Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-30T16:43:40.834Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-30T16:43:40.834Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-30T16:43:40.834Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (16630.967 ms) ====== [2025-08-30T16:43:40.834Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-08-30T16:43:40.834Z] GC before operation: completed in 118.944 ms, heap usage 373.066 MB -> 89.521 MB. [2025-08-30T16:43:42.784Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T16:43:45.969Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T16:43:47.930Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T16:43:50.941Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T16:43:51.899Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T16:43:53.852Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T16:43:54.802Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T16:43:56.751Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T16:43:56.751Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-08-30T16:43:56.751Z] The best model improves the baseline by 14.52%. [2025-08-30T16:43:56.751Z] Top recommended movies for user id 72: [2025-08-30T16:43:56.751Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-30T16:43:56.751Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-30T16:43:56.751Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-30T16:43:56.751Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-30T16:43:56.751Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-30T16:43:56.751Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (16156.312 ms) ====== [2025-08-30T16:43:56.751Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-08-30T16:43:56.751Z] GC before operation: completed in 122.404 ms, heap usage 213.785 MB -> 89.660 MB. [2025-08-30T16:43:59.764Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T16:44:01.712Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T16:44:03.659Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T16:44:05.613Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T16:44:07.561Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T16:44:08.510Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T16:44:10.461Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T16:44:11.412Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T16:44:11.412Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-08-30T16:44:11.412Z] The best model improves the baseline by 14.52%. [2025-08-30T16:44:11.412Z] Top recommended movies for user id 72: [2025-08-30T16:44:11.412Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-30T16:44:11.412Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-30T16:44:11.412Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-30T16:44:11.412Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-30T16:44:11.412Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-30T16:44:11.412Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (14665.814 ms) ====== [2025-08-30T16:44:11.412Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-08-30T16:44:12.380Z] GC before operation: completed in 137.722 ms, heap usage 224.111 MB -> 89.598 MB. [2025-08-30T16:44:14.340Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T16:44:16.287Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T16:44:19.292Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T16:44:21.239Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T16:44:22.187Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T16:44:24.141Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T16:44:26.213Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T16:44:27.163Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T16:44:27.163Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-08-30T16:44:27.163Z] The best model improves the baseline by 14.52%. [2025-08-30T16:44:27.163Z] Top recommended movies for user id 72: [2025-08-30T16:44:27.163Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-30T16:44:27.163Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-30T16:44:27.163Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-30T16:44:27.163Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-30T16:44:27.163Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-30T16:44:27.163Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (15560.253 ms) ====== [2025-08-30T16:44:27.163Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-08-30T16:44:27.163Z] GC before operation: completed in 123.617 ms, heap usage 344.691 MB -> 90.120 MB. [2025-08-30T16:44:30.172Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T16:44:31.816Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T16:44:34.839Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T16:44:36.786Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T16:44:37.735Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T16:44:39.685Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T16:44:40.639Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T16:44:42.589Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T16:44:42.589Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-08-30T16:44:42.589Z] The best model improves the baseline by 14.52%. [2025-08-30T16:44:42.589Z] Top recommended movies for user id 72: [2025-08-30T16:44:42.589Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-30T16:44:42.589Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-30T16:44:42.589Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-30T16:44:42.589Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-30T16:44:42.589Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-30T16:44:42.589Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (14962.410 ms) ====== [2025-08-30T16:44:42.589Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-08-30T16:44:42.589Z] GC before operation: completed in 134.742 ms, heap usage 314.876 MB -> 90.019 MB. [2025-08-30T16:44:45.600Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T16:44:47.572Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T16:44:49.520Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T16:44:51.469Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T16:44:53.466Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T16:44:54.422Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T16:44:56.371Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T16:44:57.319Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T16:44:58.271Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-08-30T16:44:58.271Z] The best model improves the baseline by 14.52%. [2025-08-30T16:44:58.271Z] Top recommended movies for user id 72: [2025-08-30T16:44:58.271Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-30T16:44:58.271Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-30T16:44:58.271Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-30T16:44:58.271Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-30T16:44:58.271Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-30T16:44:58.271Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (15384.936 ms) ====== [2025-08-30T16:44:58.271Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-08-30T16:44:58.271Z] GC before operation: completed in 160.088 ms, heap usage 365.967 MB -> 90.358 MB. [2025-08-30T16:45:00.219Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T16:45:03.224Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T16:45:05.172Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T16:45:07.125Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T16:45:09.074Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T16:45:10.023Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T16:45:11.977Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T16:45:12.935Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T16:45:13.899Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-08-30T16:45:13.899Z] The best model improves the baseline by 14.52%. [2025-08-30T16:45:13.899Z] Top recommended movies for user id 72: [2025-08-30T16:45:13.899Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-30T16:45:13.899Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-30T16:45:13.899Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-30T16:45:13.899Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-30T16:45:13.899Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-30T16:45:13.899Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (15441.883 ms) ====== [2025-08-30T16:45:13.899Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-08-30T16:45:13.899Z] GC before operation: completed in 144.768 ms, heap usage 346.639 MB -> 90.033 MB. [2025-08-30T16:45:15.853Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T16:45:18.861Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T16:45:20.809Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T16:45:22.765Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T16:45:24.715Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T16:45:26.467Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T16:45:27.417Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T16:45:29.366Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T16:45:29.366Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-08-30T16:45:29.366Z] The best model improves the baseline by 14.52%. [2025-08-30T16:45:29.366Z] Top recommended movies for user id 72: [2025-08-30T16:45:29.366Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-30T16:45:29.366Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-30T16:45:29.366Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-30T16:45:29.366Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-30T16:45:29.366Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-30T16:45:29.366Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (15580.829 ms) ====== [2025-08-30T16:45:29.366Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-08-30T16:45:29.366Z] GC before operation: completed in 144.099 ms, heap usage 170.478 MB -> 90.169 MB. [2025-08-30T16:45:32.377Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T16:45:34.330Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T16:45:36.280Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T16:45:38.232Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T16:45:40.189Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T16:45:41.138Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T16:45:42.087Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T16:45:44.036Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T16:45:44.036Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-08-30T16:45:44.036Z] The best model improves the baseline by 14.52%. [2025-08-30T16:45:44.036Z] Top recommended movies for user id 72: [2025-08-30T16:45:44.036Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-30T16:45:44.036Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-30T16:45:44.036Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-30T16:45:44.036Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-30T16:45:44.036Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-30T16:45:44.036Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (14779.362 ms) ====== [2025-08-30T16:45:44.036Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-08-30T16:45:44.987Z] GC before operation: completed in 219.023 ms, heap usage 431.357 MB -> 90.121 MB. [2025-08-30T16:45:46.946Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T16:45:48.892Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T16:45:50.849Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T16:45:52.799Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T16:45:54.749Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T16:45:55.698Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T16:45:57.645Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T16:45:58.595Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T16:45:59.545Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-08-30T16:45:59.545Z] The best model improves the baseline by 14.52%. [2025-08-30T16:45:59.545Z] Top recommended movies for user id 72: [2025-08-30T16:45:59.545Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-30T16:45:59.545Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-30T16:45:59.545Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-30T16:45:59.545Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-30T16:45:59.545Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-30T16:45:59.545Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (14895.800 ms) ====== [2025-08-30T16:45:59.545Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-08-30T16:45:59.545Z] GC before operation: completed in 132.551 ms, heap usage 405.389 MB -> 90.340 MB. [2025-08-30T16:46:01.556Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T16:46:04.568Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T16:46:06.520Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T16:46:08.470Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T16:46:10.421Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T16:46:12.384Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T16:46:13.335Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T16:46:15.858Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T16:46:15.858Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-08-30T16:46:15.858Z] The best model improves the baseline by 14.52%. [2025-08-30T16:46:15.858Z] Top recommended movies for user id 72: [2025-08-30T16:46:15.858Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-30T16:46:15.858Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-30T16:46:15.858Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-30T16:46:15.858Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-30T16:46:15.858Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-30T16:46:15.858Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (15889.730 ms) ====== [2025-08-30T16:46:15.858Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-08-30T16:46:15.858Z] GC before operation: completed in 133.176 ms, heap usage 129.129 MB -> 90.045 MB. [2025-08-30T16:46:17.825Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T16:46:20.836Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T16:46:22.788Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T16:46:24.747Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T16:46:26.753Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T16:46:27.707Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T16:46:29.657Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T16:46:30.607Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T16:46:31.558Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-08-30T16:46:31.558Z] The best model improves the baseline by 14.52%. [2025-08-30T16:46:31.558Z] Top recommended movies for user id 72: [2025-08-30T16:46:31.558Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-30T16:46:31.558Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-30T16:46:31.558Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-30T16:46:31.558Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-30T16:46:31.558Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-30T16:46:31.558Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (15902.600 ms) ====== [2025-08-30T16:46:31.558Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-08-30T16:46:31.558Z] GC before operation: completed in 129.617 ms, heap usage 382.287 MB -> 90.182 MB. [2025-08-30T16:46:33.511Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T16:46:36.528Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T16:46:38.480Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T16:46:40.432Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T16:46:42.383Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T16:46:43.333Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T16:46:45.283Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T16:46:46.233Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T16:46:46.233Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-08-30T16:46:47.184Z] The best model improves the baseline by 14.52%. [2025-08-30T16:46:47.184Z] Top recommended movies for user id 72: [2025-08-30T16:46:47.184Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-30T16:46:47.184Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-30T16:46:47.184Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-30T16:46:47.184Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-30T16:46:47.184Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-30T16:46:47.184Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (15224.963 ms) ====== [2025-08-30T16:46:47.184Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-08-30T16:46:47.184Z] GC before operation: completed in 133.512 ms, heap usage 338.438 MB -> 90.404 MB. [2025-08-30T16:46:49.134Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T16:46:52.144Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T16:46:54.095Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T16:46:57.104Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T16:46:58.054Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T16:47:00.003Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T16:47:00.959Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T16:47:02.908Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T16:47:02.908Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-08-30T16:47:02.908Z] The best model improves the baseline by 14.52%. [2025-08-30T16:47:02.908Z] Top recommended movies for user id 72: [2025-08-30T16:47:02.908Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-30T16:47:02.908Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-30T16:47:02.908Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-30T16:47:02.908Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-30T16:47:02.908Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-30T16:47:02.908Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (16263.817 ms) ====== [2025-08-30T16:47:02.908Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-08-30T16:47:03.859Z] GC before operation: completed in 145.919 ms, heap usage 341.443 MB -> 90.175 MB. [2025-08-30T16:47:05.811Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T16:47:08.626Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T16:47:10.580Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T16:47:12.534Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T16:47:14.485Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T16:47:15.436Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T16:47:17.388Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T16:47:18.340Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T16:47:18.340Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-08-30T16:47:19.289Z] The best model improves the baseline by 14.52%. [2025-08-30T16:47:19.289Z] Top recommended movies for user id 72: [2025-08-30T16:47:19.289Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-30T16:47:19.289Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-30T16:47:19.289Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-30T16:47:19.289Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-30T16:47:19.289Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-30T16:47:19.289Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (15576.212 ms) ====== [2025-08-30T16:47:19.289Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-08-30T16:47:19.289Z] GC before operation: completed in 125.298 ms, heap usage 443.009 MB -> 90.501 MB. [2025-08-30T16:47:21.240Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T16:47:23.191Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T16:47:26.280Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T16:47:28.234Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T16:47:29.184Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T16:47:31.134Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T16:47:32.083Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T16:47:34.037Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T16:47:34.037Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-08-30T16:47:34.037Z] The best model improves the baseline by 14.52%. [2025-08-30T16:47:34.037Z] Top recommended movies for user id 72: [2025-08-30T16:47:34.037Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-30T16:47:34.037Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-30T16:47:34.037Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-30T16:47:34.037Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-30T16:47:34.037Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-30T16:47:34.037Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (15134.054 ms) ====== [2025-08-30T16:47:34.037Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-08-30T16:47:34.037Z] GC before operation: completed in 181.463 ms, heap usage 250.615 MB -> 90.093 MB. [2025-08-30T16:47:37.046Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T16:47:39.003Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T16:47:42.017Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T16:47:43.968Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T16:47:44.920Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T16:47:46.875Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T16:47:47.824Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T16:47:49.775Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T16:47:49.775Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-08-30T16:47:49.775Z] The best model improves the baseline by 14.52%. [2025-08-30T16:47:49.775Z] Top recommended movies for user id 72: [2025-08-30T16:47:49.775Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-30T16:47:49.775Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-30T16:47:49.775Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-30T16:47:49.775Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-30T16:47:49.775Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-30T16:47:49.775Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (15586.684 ms) ====== [2025-08-30T16:47:49.775Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-08-30T16:47:49.775Z] GC before operation: completed in 134.324 ms, heap usage 480.462 MB -> 90.456 MB. [2025-08-30T16:47:52.784Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-30T16:47:54.745Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-30T16:47:56.697Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-30T16:47:59.698Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-30T16:48:00.647Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-30T16:48:02.597Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-30T16:48:03.546Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-30T16:48:05.503Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-30T16:48:05.503Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-08-30T16:48:05.503Z] The best model improves the baseline by 14.52%. [2025-08-30T16:48:05.503Z] Top recommended movies for user id 72: [2025-08-30T16:48:05.503Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-30T16:48:05.503Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-30T16:48:05.503Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-30T16:48:05.503Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-30T16:48:05.503Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-30T16:48:05.503Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (15320.569 ms) ====== [2025-08-30T16:48:06.454Z] ----------------------------------- [2025-08-30T16:48:06.454Z] renaissance-movie-lens_0_PASSED [2025-08-30T16:48:06.454Z] ----------------------------------- [2025-08-30T16:48:06.454Z] [2025-08-30T16:48:06.454Z] TEST TEARDOWN: [2025-08-30T16:48:06.454Z] Nothing to be done for teardown. [2025-08-30T16:48:06.454Z] renaissance-movie-lens_0 Finish Time: Sat Aug 30 16:48:05 2025 Epoch Time (ms): 1756572485509