[2025-07-01T11:16:29.912Z] Running test renaissance-movie-lens_0 ... [2025-07-01T11:16:29.912Z] =============================================== [2025-07-01T11:16:29.912Z] renaissance-movie-lens_0 Start Time: Tue Jul 1 11:16:29 2025 Epoch Time (ms): 1751368589205 [2025-07-01T11:16:29.912Z] variation: NoOptions [2025-07-01T11:16:29.912Z] JVM_OPTIONS: [2025-07-01T11:16:29.912Z] { \ [2025-07-01T11:16:29.912Z] echo ""; echo "TEST SETUP:"; \ [2025-07-01T11:16:29.912Z] echo "Nothing to be done for setup."; \ [2025-07-01T11:16:29.912Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17513670376690/renaissance-movie-lens_0"; \ [2025-07-01T11:16:29.912Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17513670376690/renaissance-movie-lens_0"; \ [2025-07-01T11:16:29.912Z] echo ""; echo "TESTING:"; \ [2025-07-01T11:16:29.912Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-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_aarch64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17513670376690/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-07-01T11:16:29.912Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17513670376690/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-07-01T11:16:29.912Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-07-01T11:16:29.912Z] echo "Nothing to be done for teardown."; \ [2025-07-01T11:16:29.912Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17513670376690/TestTargetResult"; [2025-07-01T11:16:29.912Z] [2025-07-01T11:16:29.912Z] TEST SETUP: [2025-07-01T11:16:29.912Z] Nothing to be done for setup. [2025-07-01T11:16:29.912Z] [2025-07-01T11:16:29.912Z] TESTING: [2025-07-01T11:16:37.053Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-07-01T11:16:47.378Z] 11:16:45.678 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-07-01T11:16:49.053Z] Got 100004 ratings from 671 users on 9066 movies. [2025-07-01T11:16:49.866Z] Training: 60056, validation: 20285, test: 19854 [2025-07-01T11:16:49.866Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-07-01T11:16:49.866Z] GC before operation: completed in 160.000 ms, heap usage 206.303 MB -> 75.890 MB. [2025-07-01T11:17:01.954Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T11:17:06.761Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T11:17:13.008Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T11:17:17.672Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T11:17:21.251Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T11:17:23.839Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T11:17:26.432Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T11:17:28.099Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T11:17:28.907Z] 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. [2025-07-01T11:17:28.907Z] The best model improves the baseline by 14.52%. [2025-07-01T11:17:29.714Z] Top recommended movies for user id 72: [2025-07-01T11:17:29.714Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T11:17:29.714Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T11:17:29.714Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T11:17:29.714Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T11:17:29.714Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T11:17:29.714Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (39540.719 ms) ====== [2025-07-01T11:17:29.714Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-07-01T11:17:29.714Z] GC before operation: completed in 280.202 ms, heap usage 205.471 MB -> 91.609 MB. [2025-07-01T11:17:34.376Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T11:17:37.940Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T11:17:42.603Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T11:17:45.214Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T11:17:47.803Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T11:17:50.392Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T11:17:52.990Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T11:17:56.877Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T11:17:56.877Z] 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. [2025-07-01T11:17:56.877Z] The best model improves the baseline by 14.52%. [2025-07-01T11:17:56.877Z] Top recommended movies for user id 72: [2025-07-01T11:17:56.877Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T11:17:56.877Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T11:17:56.877Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T11:17:56.877Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T11:17:56.877Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T11:17:56.877Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (27069.962 ms) ====== [2025-07-01T11:17:56.877Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-07-01T11:17:58.091Z] GC before operation: completed in 208.287 ms, heap usage 164.146 MB -> 90.673 MB. [2025-07-01T11:18:01.673Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T11:18:06.318Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T11:18:09.926Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T11:18:14.597Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T11:18:17.181Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T11:18:19.768Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T11:18:22.354Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T11:18:24.951Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T11:18:25.757Z] 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. [2025-07-01T11:18:25.757Z] The best model improves the baseline by 14.52%. [2025-07-01T11:18:25.757Z] Top recommended movies for user id 72: [2025-07-01T11:18:25.757Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T11:18:25.757Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T11:18:25.757Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T11:18:25.757Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T11:18:25.757Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T11:18:25.757Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (29000.002 ms) ====== [2025-07-01T11:18:25.757Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-07-01T11:18:26.574Z] GC before operation: completed in 281.196 ms, heap usage 382.013 MB -> 89.512 MB. [2025-07-01T11:18:31.235Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T11:18:35.884Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T11:18:40.534Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T11:18:44.133Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T11:18:48.211Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T11:18:49.881Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T11:18:52.468Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T11:18:55.053Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T11:18:55.868Z] 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. [2025-07-01T11:18:55.868Z] The best model improves the baseline by 14.52%. [2025-07-01T11:18:55.868Z] Top recommended movies for user id 72: [2025-07-01T11:18:55.868Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T11:18:55.868Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T11:18:55.868Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T11:18:55.868Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T11:18:55.868Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T11:18:55.868Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (29512.513 ms) ====== [2025-07-01T11:18:55.868Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-07-01T11:18:55.868Z] GC before operation: completed in 205.388 ms, heap usage 351.965 MB -> 89.796 MB. [2025-07-01T11:18:59.439Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T11:19:04.127Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T11:19:10.020Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T11:19:13.590Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T11:19:16.255Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T11:19:18.847Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T11:19:21.435Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T11:19:24.028Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T11:19:24.028Z] 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. [2025-07-01T11:19:24.839Z] The best model improves the baseline by 14.52%. [2025-07-01T11:19:24.839Z] Top recommended movies for user id 72: [2025-07-01T11:19:24.839Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T11:19:24.839Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T11:19:24.839Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T11:19:24.839Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T11:19:24.839Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T11:19:24.839Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (28663.960 ms) ====== [2025-07-01T11:19:24.839Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-07-01T11:19:24.839Z] GC before operation: completed in 190.618 ms, heap usage 130.339 MB -> 91.893 MB. [2025-07-01T11:19:29.516Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T11:19:34.193Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T11:19:38.873Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T11:19:44.133Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T11:19:45.805Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T11:19:48.455Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T11:19:52.052Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T11:19:54.649Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T11:19:54.649Z] 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. [2025-07-01T11:19:54.649Z] The best model improves the baseline by 14.52%. [2025-07-01T11:19:54.649Z] Top recommended movies for user id 72: [2025-07-01T11:19:54.649Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T11:19:54.649Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T11:19:54.649Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T11:19:54.649Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T11:19:54.649Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T11:19:54.649Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (30049.306 ms) ====== [2025-07-01T11:19:54.649Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-07-01T11:19:55.459Z] GC before operation: completed in 177.428 ms, heap usage 271.195 MB -> 89.905 MB. [2025-07-01T11:19:59.077Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T11:20:03.723Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T11:20:07.295Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T11:20:10.924Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T11:20:12.600Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T11:20:15.187Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T11:20:16.853Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T11:20:19.444Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T11:20:19.444Z] 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. [2025-07-01T11:20:19.444Z] The best model improves the baseline by 14.52%. [2025-07-01T11:20:19.444Z] Top recommended movies for user id 72: [2025-07-01T11:20:19.444Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T11:20:19.444Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T11:20:19.444Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T11:20:19.445Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T11:20:19.445Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T11:20:19.445Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (24717.237 ms) ====== [2025-07-01T11:20:19.445Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-07-01T11:20:20.251Z] GC before operation: completed in 204.842 ms, heap usage 714.377 MB -> 93.804 MB. [2025-07-01T11:20:24.936Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T11:20:28.519Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T11:20:33.446Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T11:20:37.036Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T11:20:39.629Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T11:20:41.443Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T11:20:45.023Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T11:20:47.656Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T11:20:47.656Z] 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. [2025-07-01T11:20:48.469Z] The best model improves the baseline by 14.52%. [2025-07-01T11:20:48.469Z] Top recommended movies for user id 72: [2025-07-01T11:20:48.469Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T11:20:48.469Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T11:20:48.469Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T11:20:48.469Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T11:20:48.469Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T11:20:48.469Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (28311.758 ms) ====== [2025-07-01T11:20:48.469Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-07-01T11:20:48.469Z] GC before operation: completed in 342.931 ms, heap usage 358.393 MB -> 90.299 MB. [2025-07-01T11:20:54.305Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T11:20:57.900Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T11:21:02.558Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T11:21:07.208Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T11:21:09.798Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T11:21:12.388Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T11:21:16.020Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T11:21:18.603Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T11:21:18.603Z] 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. [2025-07-01T11:21:18.603Z] The best model improves the baseline by 14.52%. [2025-07-01T11:21:18.603Z] Top recommended movies for user id 72: [2025-07-01T11:21:18.603Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T11:21:18.603Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T11:21:18.603Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T11:21:18.603Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T11:21:18.603Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T11:21:18.603Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (30324.036 ms) ====== [2025-07-01T11:21:18.603Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-07-01T11:21:19.412Z] GC before operation: completed in 263.089 ms, heap usage 396.021 MB -> 90.043 MB. [2025-07-01T11:21:24.385Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T11:21:30.236Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T11:21:34.941Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T11:21:39.649Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T11:21:43.231Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T11:21:45.824Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T11:21:49.549Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T11:21:52.146Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T11:21:52.965Z] 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. [2025-07-01T11:21:52.965Z] The best model improves the baseline by 14.52%. [2025-07-01T11:21:52.965Z] Top recommended movies for user id 72: [2025-07-01T11:21:52.965Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T11:21:52.965Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T11:21:52.965Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T11:21:52.965Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T11:21:52.965Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T11:21:52.965Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (33742.108 ms) ====== [2025-07-01T11:21:52.965Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-07-01T11:21:52.965Z] GC before operation: completed in 266.875 ms, heap usage 206.789 MB -> 90.075 MB. [2025-07-01T11:21:57.645Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T11:22:03.494Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T11:22:08.275Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T11:22:12.421Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T11:22:15.007Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T11:22:18.589Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T11:22:21.179Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T11:22:23.788Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T11:22:23.788Z] 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. [2025-07-01T11:22:23.788Z] The best model improves the baseline by 14.52%. [2025-07-01T11:22:24.600Z] Top recommended movies for user id 72: [2025-07-01T11:22:24.600Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T11:22:24.600Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T11:22:24.600Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T11:22:24.600Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T11:22:24.600Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T11:22:24.600Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (31055.358 ms) ====== [2025-07-01T11:22:24.600Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-07-01T11:22:24.600Z] GC before operation: completed in 193.728 ms, heap usage 454.911 MB -> 90.146 MB. [2025-07-01T11:22:29.273Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T11:22:33.943Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T11:22:38.616Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T11:22:42.197Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T11:22:44.794Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T11:22:47.492Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T11:22:50.112Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T11:22:52.715Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T11:22:53.527Z] 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. [2025-07-01T11:22:53.527Z] The best model improves the baseline by 14.52%. [2025-07-01T11:22:53.527Z] Top recommended movies for user id 72: [2025-07-01T11:22:53.527Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T11:22:53.527Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T11:22:53.527Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T11:22:53.527Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T11:22:53.527Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T11:22:53.527Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (28872.902 ms) ====== [2025-07-01T11:22:53.527Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-07-01T11:22:53.527Z] GC before operation: completed in 259.524 ms, heap usage 191.402 MB -> 91.373 MB. [2025-07-01T11:22:58.417Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T11:23:03.072Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T11:23:06.692Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T11:23:11.371Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T11:23:13.980Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T11:23:16.562Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T11:23:19.172Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T11:23:21.772Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T11:23:21.772Z] 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. [2025-07-01T11:23:21.772Z] The best model improves the baseline by 14.52%. [2025-07-01T11:23:21.772Z] Top recommended movies for user id 72: [2025-07-01T11:23:21.772Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T11:23:21.772Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T11:23:21.772Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T11:23:21.772Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T11:23:21.772Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T11:23:21.772Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (28482.271 ms) ====== [2025-07-01T11:23:21.772Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-07-01T11:23:22.587Z] GC before operation: completed in 189.233 ms, heap usage 279.094 MB -> 90.301 MB. [2025-07-01T11:23:27.284Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T11:23:30.866Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T11:23:35.542Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T11:23:40.198Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T11:23:42.799Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T11:23:45.386Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T11:23:48.546Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T11:23:51.146Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T11:23:51.146Z] 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. [2025-07-01T11:23:51.146Z] The best model improves the baseline by 14.52%. [2025-07-01T11:23:51.957Z] Top recommended movies for user id 72: [2025-07-01T11:23:51.957Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T11:23:51.957Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T11:23:51.957Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T11:23:51.957Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T11:23:51.957Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T11:23:51.957Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (29682.746 ms) ====== [2025-07-01T11:23:51.957Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-07-01T11:23:51.957Z] GC before operation: completed in 259.006 ms, heap usage 200.168 MB -> 89.945 MB. [2025-07-01T11:23:57.814Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T11:24:02.470Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T11:24:07.116Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T11:24:11.777Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T11:24:14.374Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T11:24:17.948Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T11:24:20.539Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T11:24:24.118Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T11:24:24.118Z] 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. [2025-07-01T11:24:24.118Z] The best model improves the baseline by 14.52%. [2025-07-01T11:24:24.963Z] Top recommended movies for user id 72: [2025-07-01T11:24:24.963Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T11:24:24.963Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T11:24:24.963Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T11:24:24.963Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T11:24:24.963Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T11:24:24.963Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (32352.159 ms) ====== [2025-07-01T11:24:24.963Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-07-01T11:24:24.963Z] GC before operation: completed in 265.103 ms, heap usage 168.632 MB -> 91.263 MB. [2025-07-01T11:24:29.622Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T11:24:37.157Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T11:24:39.761Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T11:24:43.358Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T11:24:45.940Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T11:24:48.596Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T11:24:51.184Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T11:24:53.770Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T11:24:54.581Z] 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. [2025-07-01T11:24:54.581Z] The best model improves the baseline by 14.52%. [2025-07-01T11:24:54.581Z] Top recommended movies for user id 72: [2025-07-01T11:24:54.581Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T11:24:54.581Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T11:24:54.581Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T11:24:54.581Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T11:24:54.581Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T11:24:54.581Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (29781.009 ms) ====== [2025-07-01T11:24:54.581Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-07-01T11:24:54.581Z] GC before operation: completed in 252.968 ms, heap usage 542.383 MB -> 93.783 MB. [2025-07-01T11:25:00.444Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T11:25:05.099Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T11:25:09.766Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T11:25:14.468Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T11:25:18.072Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T11:25:20.671Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T11:25:23.598Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T11:25:26.200Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T11:25:27.020Z] 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. [2025-07-01T11:25:27.020Z] The best model improves the baseline by 14.52%. [2025-07-01T11:25:27.020Z] Top recommended movies for user id 72: [2025-07-01T11:25:27.020Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T11:25:27.020Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T11:25:27.020Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T11:25:27.020Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T11:25:27.020Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T11:25:27.020Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (32214.375 ms) ====== [2025-07-01T11:25:27.020Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-07-01T11:25:27.020Z] GC before operation: completed in 261.020 ms, heap usage 326.611 MB -> 90.341 MB. [2025-07-01T11:25:32.895Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T11:25:37.573Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T11:25:42.378Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T11:25:47.102Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T11:25:50.878Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T11:25:53.466Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T11:25:56.060Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T11:25:58.649Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T11:25:59.469Z] 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. [2025-07-01T11:25:59.469Z] The best model improves the baseline by 14.52%. [2025-07-01T11:25:59.469Z] Top recommended movies for user id 72: [2025-07-01T11:25:59.469Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T11:25:59.469Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T11:25:59.469Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T11:25:59.469Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T11:25:59.469Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T11:25:59.469Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (32294.484 ms) ====== [2025-07-01T11:25:59.469Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-07-01T11:26:00.283Z] GC before operation: completed in 213.692 ms, heap usage 99.092 MB -> 90.278 MB. [2025-07-01T11:26:04.945Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T11:26:09.102Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T11:26:13.763Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T11:26:18.422Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T11:26:21.010Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T11:26:23.594Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T11:26:26.179Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T11:26:28.772Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T11:26:28.772Z] 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. [2025-07-01T11:26:28.772Z] The best model improves the baseline by 14.52%. [2025-07-01T11:26:29.583Z] Top recommended movies for user id 72: [2025-07-01T11:26:29.583Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T11:26:29.583Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T11:26:29.583Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T11:26:29.583Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T11:26:29.583Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T11:26:29.583Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (29301.808 ms) ====== [2025-07-01T11:26:29.583Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-07-01T11:26:29.583Z] GC before operation: completed in 209.210 ms, heap usage 265.801 MB -> 90.120 MB. [2025-07-01T11:26:34.250Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-07-01T11:26:38.923Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-07-01T11:26:43.592Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-07-01T11:26:48.331Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-07-01T11:26:51.002Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-07-01T11:26:52.967Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-07-01T11:26:56.570Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-07-01T11:26:59.164Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-07-01T11:26:59.164Z] 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. [2025-07-01T11:26:59.164Z] The best model improves the baseline by 14.52%. [2025-07-01T11:26:59.974Z] Top recommended movies for user id 72: [2025-07-01T11:26:59.974Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-07-01T11:26:59.974Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-07-01T11:26:59.974Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-07-01T11:26:59.974Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-07-01T11:26:59.974Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-07-01T11:26:59.974Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (30225.780 ms) ====== [2025-07-01T11:27:01.642Z] ----------------------------------- [2025-07-01T11:27:01.642Z] renaissance-movie-lens_0_PASSED [2025-07-01T11:27:01.642Z] ----------------------------------- [2025-07-01T11:27:01.642Z] [2025-07-01T11:27:01.642Z] TEST TEARDOWN: [2025-07-01T11:27:01.642Z] Nothing to be done for teardown. [2025-07-01T11:27:01.642Z] renaissance-movie-lens_0 Finish Time: Tue Jul 1 11:27:01 2025 Epoch Time (ms): 1751369221299