[2025-08-02T01:29:18.066Z] Running test renaissance-movie-lens_0 ... [2025-08-02T01:29:18.066Z] =============================================== [2025-08-02T01:29:18.066Z] renaissance-movie-lens_0 Start Time: Sat Aug 2 01:29:17 2025 Epoch Time (ms): 1754098157304 [2025-08-02T01:29:18.066Z] variation: NoOptions [2025-08-02T01:29:18.066Z] JVM_OPTIONS: [2025-08-02T01:29:18.066Z] { \ [2025-08-02T01:29:18.066Z] echo ""; echo "TEST SETUP:"; \ [2025-08-02T01:29:18.066Z] echo "Nothing to be done for setup."; \ [2025-08-02T01:29:18.066Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17540869947190/renaissance-movie-lens_0"; \ [2025-08-02T01:29:18.066Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17540869947190/renaissance-movie-lens_0"; \ [2025-08-02T01:29:18.066Z] echo ""; echo "TESTING:"; \ [2025-08-02T01:29:18.066Z] "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_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_openjdk11_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17540869947190/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2025-08-02T01:29:18.066Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17540869947190/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-08-02T01:29:18.066Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-08-02T01:29:18.066Z] echo "Nothing to be done for teardown."; \ [2025-08-02T01:29:18.066Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17540869947190/TestTargetResult"; [2025-08-02T01:29:18.066Z] [2025-08-02T01:29:18.066Z] TEST SETUP: [2025-08-02T01:29:18.066Z] Nothing to be done for setup. [2025-08-02T01:29:18.066Z] [2025-08-02T01:29:18.066Z] TESTING: [2025-08-02T01:29:40.503Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-08-02T01:30:22.355Z] 01:30:21.735 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-08-02T01:30:36.492Z] Got 100004 ratings from 671 users on 9066 movies. [2025-08-02T01:30:39.073Z] Training: 60056, validation: 20285, test: 19854 [2025-08-02T01:30:39.073Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-08-02T01:30:40.738Z] GC before operation: completed in 1261.328 ms, heap usage 198.550 MB -> 74.406 MB. [2025-08-02T01:31:38.920Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-02T01:32:09.829Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-02T01:32:36.256Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-02T01:32:59.335Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-02T01:33:15.972Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-02T01:33:30.086Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-02T01:33:44.871Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-02T01:33:56.988Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-02T01:33:58.608Z] 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. [2025-08-02T01:33:59.442Z] The best model improves the baseline by 14.52%. [2025-08-02T01:34:01.024Z] Top recommended movies for user id 72: [2025-08-02T01:34:01.024Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-02T01:34:01.024Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-02T01:34:01.024Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-02T01:34:01.024Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-02T01:34:01.024Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-02T01:34:01.024Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (200039.756 ms) ====== [2025-08-02T01:34:01.024Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-08-02T01:34:01.820Z] GC before operation: completed in 841.490 ms, heap usage 243.113 MB -> 85.278 MB. [2025-08-02T01:34:21.306Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-02T01:34:40.535Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-02T01:35:00.213Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-02T01:35:19.444Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-02T01:35:29.641Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-02T01:35:43.830Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-02T01:35:52.953Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-02T01:36:03.123Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-02T01:36:04.781Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-08-02T01:36:04.781Z] The best model improves the baseline by 14.52%. [2025-08-02T01:36:05.605Z] Top recommended movies for user id 72: [2025-08-02T01:36:05.605Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-02T01:36:05.606Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-02T01:36:05.606Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-02T01:36:05.606Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-02T01:36:05.606Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-02T01:36:05.606Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (124129.316 ms) ====== [2025-08-02T01:36:05.606Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-08-02T01:36:06.385Z] GC before operation: completed in 803.355 ms, heap usage 168.008 MB -> 87.379 MB. [2025-08-02T01:36:22.885Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-02T01:36:42.363Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-02T01:36:59.733Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-02T01:37:19.287Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-02T01:37:31.715Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-02T01:37:42.176Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-02T01:37:53.085Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-02T01:38:05.367Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-02T01:38:07.088Z] 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. [2025-08-02T01:38:07.088Z] The best model improves the baseline by 14.52%. [2025-08-02T01:38:07.935Z] Top recommended movies for user id 72: [2025-08-02T01:38:07.935Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-02T01:38:07.935Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-02T01:38:07.935Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-02T01:38:07.935Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-02T01:38:07.935Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-02T01:38:07.935Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (121661.634 ms) ====== [2025-08-02T01:38:07.935Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-08-02T01:38:08.765Z] GC before operation: completed in 935.798 ms, heap usage 197.292 MB -> 88.028 MB. [2025-08-02T01:38:25.601Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-02T01:38:42.397Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-02T01:39:02.629Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-02T01:39:17.212Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-02T01:39:29.608Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-02T01:39:40.050Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-02T01:39:52.892Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-02T01:40:03.408Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-02T01:40:05.189Z] 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. [2025-08-02T01:40:06.041Z] The best model improves the baseline by 14.52%. [2025-08-02T01:40:06.908Z] Top recommended movies for user id 72: [2025-08-02T01:40:06.908Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-02T01:40:06.908Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-02T01:40:06.908Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-02T01:40:06.908Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-02T01:40:06.908Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-02T01:40:06.908Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (117877.043 ms) ====== [2025-08-02T01:40:06.908Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-08-02T01:40:07.764Z] GC before operation: completed in 945.522 ms, heap usage 228.994 MB -> 88.322 MB. [2025-08-02T01:40:24.998Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-02T01:40:45.219Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-02T01:41:03.100Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-02T01:41:20.508Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-02T01:41:33.278Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-02T01:41:42.370Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-02T01:41:53.677Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-02T01:42:02.772Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-02T01:42:03.649Z] 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. [2025-08-02T01:42:03.649Z] The best model improves the baseline by 14.52%. [2025-08-02T01:42:04.522Z] Top recommended movies for user id 72: [2025-08-02T01:42:04.522Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-02T01:42:04.522Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-02T01:42:04.522Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-02T01:42:04.522Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-02T01:42:04.522Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-02T01:42:04.522Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (117000.250 ms) ====== [2025-08-02T01:42:04.522Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-08-02T01:42:05.397Z] GC before operation: completed in 780.810 ms, heap usage 200.348 MB -> 88.253 MB. [2025-08-02T01:42:22.715Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-02T01:42:39.690Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-02T01:42:56.351Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-02T01:43:12.832Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-02T01:43:22.987Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-02T01:43:33.150Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-02T01:43:43.372Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-02T01:43:52.483Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-02T01:43:54.133Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-08-02T01:43:54.133Z] The best model improves the baseline by 14.52%. [2025-08-02T01:43:54.957Z] Top recommended movies for user id 72: [2025-08-02T01:43:54.957Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-02T01:43:54.957Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-02T01:43:54.957Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-02T01:43:54.957Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-02T01:43:54.957Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-02T01:43:54.957Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (109238.558 ms) ====== [2025-08-02T01:43:54.957Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-08-02T01:43:55.763Z] GC before operation: completed in 790.626 ms, heap usage 386.902 MB -> 88.831 MB. [2025-08-02T01:44:10.032Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-02T01:44:24.128Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-02T01:44:40.634Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-02T01:44:55.318Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-02T01:45:03.840Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-02T01:45:12.282Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-02T01:45:22.397Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-02T01:45:32.580Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-02T01:45:33.381Z] 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. [2025-08-02T01:45:33.381Z] The best model improves the baseline by 14.52%. [2025-08-02T01:45:35.049Z] Top recommended movies for user id 72: [2025-08-02T01:45:35.049Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-02T01:45:35.049Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-02T01:45:35.049Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-02T01:45:35.049Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-02T01:45:35.049Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-02T01:45:35.049Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (99281.655 ms) ====== [2025-08-02T01:45:35.049Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-08-02T01:45:35.866Z] GC before operation: completed in 884.872 ms, heap usage 304.780 MB -> 88.729 MB. [2025-08-02T01:45:52.831Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-02T01:46:06.991Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-02T01:46:21.170Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-02T01:46:37.750Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-02T01:46:45.424Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-02T01:46:55.770Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-02T01:47:04.277Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-02T01:47:12.827Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-02T01:47:14.540Z] 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. [2025-08-02T01:47:15.330Z] The best model improves the baseline by 14.52%. [2025-08-02T01:47:16.155Z] Top recommended movies for user id 72: [2025-08-02T01:47:16.155Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-02T01:47:16.155Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-02T01:47:16.155Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-02T01:47:16.155Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-02T01:47:16.155Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-02T01:47:16.155Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (100185.845 ms) ====== [2025-08-02T01:47:16.155Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-08-02T01:47:16.958Z] GC before operation: completed in 941.693 ms, heap usage 169.338 MB -> 88.736 MB. [2025-08-02T01:47:31.347Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-02T01:47:45.868Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-02T01:48:02.575Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-02T01:48:16.776Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-02T01:48:25.356Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-02T01:48:34.534Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-02T01:48:44.654Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-02T01:48:53.416Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-02T01:48:54.250Z] 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. [2025-08-02T01:48:54.250Z] The best model improves the baseline by 14.52%. [2025-08-02T01:48:55.075Z] Top recommended movies for user id 72: [2025-08-02T01:48:55.075Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-02T01:48:55.075Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-02T01:48:55.075Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-02T01:48:55.075Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-02T01:48:55.075Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-02T01:48:55.075Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (98245.101 ms) ====== [2025-08-02T01:48:55.075Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-08-02T01:48:55.893Z] GC before operation: completed in 795.332 ms, heap usage 113.274 MB -> 88.507 MB. [2025-08-02T01:49:10.532Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-02T01:49:25.604Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-02T01:49:42.468Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-02T01:49:57.067Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-02T01:50:05.898Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-02T01:50:14.706Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-02T01:50:24.147Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-02T01:50:33.028Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-02T01:50:34.733Z] 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. [2025-08-02T01:50:34.733Z] The best model improves the baseline by 14.52%. [2025-08-02T01:50:35.575Z] Top recommended movies for user id 72: [2025-08-02T01:50:35.575Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-02T01:50:35.575Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-02T01:50:35.575Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-02T01:50:35.575Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-02T01:50:35.575Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-02T01:50:35.575Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (99909.052 ms) ====== [2025-08-02T01:50:35.575Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-08-02T01:50:37.246Z] GC before operation: completed in 837.893 ms, heap usage 122.458 MB -> 88.712 MB. [2025-08-02T01:50:51.861Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-02T01:51:04.204Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-02T01:51:21.644Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-02T01:51:34.050Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-02T01:51:42.851Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-02T01:51:51.724Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-02T01:52:02.267Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-02T01:52:09.593Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-02T01:52:11.316Z] 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. [2025-08-02T01:52:11.316Z] The best model improves the baseline by 14.52%. [2025-08-02T01:52:11.316Z] Top recommended movies for user id 72: [2025-08-02T01:52:11.316Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-02T01:52:11.316Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-02T01:52:11.316Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-02T01:52:11.316Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-02T01:52:11.316Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-02T01:52:11.316Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (94694.494 ms) ====== [2025-08-02T01:52:11.316Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-08-02T01:52:12.144Z] GC before operation: completed in 747.882 ms, heap usage 399.428 MB -> 88.794 MB. [2025-08-02T01:52:25.047Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-02T01:52:39.582Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-02T01:52:54.058Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-02T01:53:06.496Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-02T01:53:15.762Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-02T01:53:24.656Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-02T01:53:35.176Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-02T01:53:42.609Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-02T01:53:43.432Z] 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. [2025-08-02T01:53:43.432Z] The best model improves the baseline by 14.52%. [2025-08-02T01:53:44.295Z] Top recommended movies for user id 72: [2025-08-02T01:53:44.295Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-02T01:53:44.295Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-02T01:53:44.295Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-02T01:53:44.295Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-02T01:53:44.295Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-02T01:53:44.295Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (92248.730 ms) ====== [2025-08-02T01:53:44.295Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-08-02T01:53:45.135Z] GC before operation: completed in 957.203 ms, heap usage 215.806 MB -> 87.303 MB. [2025-08-02T01:53:59.760Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-02T01:54:14.951Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-02T01:54:28.979Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-02T01:54:43.017Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-02T01:54:50.084Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-02T01:55:00.284Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-02T01:55:09.413Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-02T01:55:19.555Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-02T01:55:21.227Z] 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. [2025-08-02T01:55:21.227Z] The best model improves the baseline by 14.52%. [2025-08-02T01:55:22.031Z] Top recommended movies for user id 72: [2025-08-02T01:55:22.032Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-02T01:55:22.032Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-02T01:55:22.032Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-02T01:55:22.032Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-02T01:55:22.032Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-02T01:55:22.032Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (96678.969 ms) ====== [2025-08-02T01:55:22.032Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-08-02T01:55:22.817Z] GC before operation: completed in 873.649 ms, heap usage 246.537 MB -> 84.919 MB. [2025-08-02T01:55:39.349Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-02T01:55:55.898Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-02T01:56:15.304Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-02T01:56:29.369Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-02T01:56:41.358Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-02T01:56:50.012Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-02T01:57:02.576Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-02T01:57:12.839Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-02T01:57:14.501Z] 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. [2025-08-02T01:57:14.501Z] The best model improves the baseline by 14.52%. [2025-08-02T01:57:16.155Z] Top recommended movies for user id 72: [2025-08-02T01:57:16.155Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-02T01:57:16.155Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-02T01:57:16.155Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-02T01:57:16.155Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-02T01:57:16.155Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-02T01:57:16.155Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (112732.154 ms) ====== [2025-08-02T01:57:16.155Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-08-02T01:57:16.952Z] GC before operation: completed in 864.266 ms, heap usage 194.011 MB -> 84.682 MB. [2025-08-02T01:57:36.209Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-02T01:57:50.371Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-02T01:58:09.620Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-02T01:58:25.880Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-02T01:58:35.946Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-02T01:58:45.965Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-02T01:58:57.931Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-02T01:59:06.859Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-02T01:59:08.471Z] 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. [2025-08-02T01:59:08.471Z] The best model improves the baseline by 14.52%. [2025-08-02T01:59:09.384Z] Top recommended movies for user id 72: [2025-08-02T01:59:09.385Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-02T01:59:09.385Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-02T01:59:09.385Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-02T01:59:09.385Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-02T01:59:09.385Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-02T01:59:09.385Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (112659.406 ms) ====== [2025-08-02T01:59:09.385Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-08-02T01:59:10.173Z] GC before operation: completed in 975.427 ms, heap usage 327.953 MB -> 85.327 MB. [2025-08-02T01:59:26.519Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-02T01:59:45.586Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-02T02:00:04.778Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-02T02:00:21.049Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-02T02:00:31.106Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-02T02:00:39.730Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-02T02:00:50.064Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-02T02:01:01.006Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-02T02:01:02.710Z] 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. [2025-08-02T02:01:02.710Z] The best model improves the baseline by 14.52%. [2025-08-02T02:01:04.393Z] Top recommended movies for user id 72: [2025-08-02T02:01:04.393Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-02T02:01:04.393Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-02T02:01:04.393Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-02T02:01:04.393Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-02T02:01:04.393Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-02T02:01:04.393Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (113899.018 ms) ====== [2025-08-02T02:01:04.393Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-08-02T02:01:05.221Z] GC before operation: completed in 961.295 ms, heap usage 304.891 MB -> 84.222 MB. [2025-08-02T02:01:21.955Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-02T02:01:36.365Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-02T02:01:53.130Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-02T02:02:07.720Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-02T02:02:16.434Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-02T02:02:25.146Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-02T02:02:35.549Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-02T02:02:44.287Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-02T02:02:46.000Z] 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. [2025-08-02T02:02:46.888Z] The best model improves the baseline by 14.52%. [2025-08-02T02:02:47.729Z] Top recommended movies for user id 72: [2025-08-02T02:02:47.729Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-02T02:02:47.729Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-02T02:02:47.729Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-02T02:02:47.729Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-02T02:02:47.729Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-02T02:02:47.729Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (102401.794 ms) ====== [2025-08-02T02:02:47.729Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-08-02T02:02:49.111Z] GC before operation: completed in 800.266 ms, heap usage 245.409 MB -> 84.217 MB. [2025-08-02T02:03:03.499Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-02T02:03:17.918Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-02T02:03:32.346Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-02T02:03:46.723Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-02T02:03:56.025Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-02T02:04:06.367Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-02T02:04:15.185Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-02T02:04:24.502Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-02T02:04:25.331Z] 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. [2025-08-02T02:04:25.331Z] The best model improves the baseline by 14.52%. [2025-08-02T02:04:26.145Z] Top recommended movies for user id 72: [2025-08-02T02:04:26.145Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-02T02:04:26.145Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-02T02:04:26.145Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-02T02:04:26.145Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-02T02:04:26.145Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-02T02:04:26.145Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (98094.110 ms) ====== [2025-08-02T02:04:26.145Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-08-02T02:04:26.964Z] GC before operation: completed in 795.097 ms, heap usage 110.313 MB -> 83.931 MB. [2025-08-02T02:04:41.261Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-02T02:04:58.125Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-02T02:05:12.522Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-02T02:05:24.904Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-02T02:05:33.656Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-02T02:05:43.095Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-02T02:05:51.883Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-02T02:05:59.162Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-02T02:06:00.875Z] 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. [2025-08-02T02:06:00.875Z] The best model improves the baseline by 14.52%. [2025-08-02T02:06:01.692Z] Top recommended movies for user id 72: [2025-08-02T02:06:01.692Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-02T02:06:01.692Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-02T02:06:01.692Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-02T02:06:01.692Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-02T02:06:01.692Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-02T02:06:01.692Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (94155.174 ms) ====== [2025-08-02T02:06:01.692Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-08-02T02:06:01.692Z] GC before operation: completed in 490.757 ms, heap usage 252.043 MB -> 84.172 MB. [2025-08-02T02:06:16.172Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-02T02:06:28.541Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-02T02:06:42.990Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-02T02:06:55.411Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-02T02:07:02.807Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-02T02:07:10.273Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-02T02:07:17.663Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-02T02:07:25.614Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-02T02:07:26.467Z] 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. [2025-08-02T02:07:26.467Z] The best model improves the baseline by 14.52%. [2025-08-02T02:07:27.304Z] Top recommended movies for user id 72: [2025-08-02T02:07:27.304Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-02T02:07:27.304Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-02T02:07:27.304Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-02T02:07:27.304Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-02T02:07:27.304Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-02T02:07:27.304Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (85266.703 ms) ====== [2025-08-02T02:07:29.054Z] ----------------------------------- [2025-08-02T02:07:29.054Z] renaissance-movie-lens_0_PASSED [2025-08-02T02:07:29.054Z] ----------------------------------- [2025-08-02T02:07:29.054Z] [2025-08-02T02:07:29.054Z] TEST TEARDOWN: [2025-08-02T02:07:29.054Z] Nothing to be done for teardown. [2025-08-02T02:07:29.054Z] renaissance-movie-lens_0 Finish Time: Sat Aug 2 02:07:28 2025 Epoch Time (ms): 1754100448692