[2025-08-27T22:37:23.139Z] Running test renaissance-movie-lens_0 ... [2025-08-27T22:37:23.456Z] =============================================== [2025-08-27T22:37:23.456Z] renaissance-movie-lens_0 Start Time: Wed Aug 27 22:37:23 2025 Epoch Time (ms): 1756334243261 [2025-08-27T22:37:23.456Z] variation: NoOptions [2025-08-27T22:37:23.456Z] JVM_OPTIONS: [2025-08-27T22:37:23.456Z] { \ [2025-08-27T22:37:23.456Z] echo ""; echo "TEST SETUP:"; \ [2025-08-27T22:37:23.456Z] echo "Nothing to be done for setup."; \ [2025-08-27T22:37:23.456Z] mkdir -p "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17563326569832\\renaissance-movie-lens_0"; \ [2025-08-27T22:37:23.456Z] cd "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17563326569832\\renaissance-movie-lens_0"; \ [2025-08-27T22:37:23.456Z] echo ""; echo "TESTING:"; \ [2025-08-27T22:37:23.456Z] "c:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/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 "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests///..//jvmtest\\perf\\renaissance\\renaissance.jar" --json ""C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17563326569832\\renaissance-movie-lens_0"\\movie-lens.json" movie-lens; \ [2025-08-27T22:37:23.456Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/; rm -f -r "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17563326569832\\renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-08-27T22:37:23.456Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-08-27T22:37:23.456Z] echo "Nothing to be done for teardown."; \ [2025-08-27T22:37:23.456Z] } 2>&1 | tee -a "C:/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17563326569832\\TestTargetResult"; [2025-08-27T22:37:23.776Z] [2025-08-27T22:37:23.776Z] TEST SETUP: [2025-08-27T22:37:23.776Z] Nothing to be done for setup. [2025-08-27T22:37:23.776Z] [2025-08-27T22:37:23.776Z] TESTING: [2025-08-27T22:37:36.643Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-08-27T22:37:43.734Z] 22:37:42.698 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. [2025-08-27T22:37:45.410Z] Got 100004 ratings from 671 users on 9066 movies. [2025-08-27T22:37:45.769Z] Training: 60056, validation: 20285, test: 19854 [2025-08-27T22:37:45.769Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-08-27T22:37:46.214Z] GC before operation: completed in 130.143 ms, heap usage 256.455 MB -> 76.316 MB. [2025-08-27T22:37:56.988Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T22:38:05.942Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T22:38:14.570Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T22:38:23.204Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T22:38:26.852Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T22:38:31.430Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T22:38:36.061Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T22:38:40.758Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T22:38:40.758Z] 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. [2025-08-27T22:38:41.086Z] The best model improves the baseline by 14.52%. [2025-08-27T22:38:41.443Z] Top recommended movies for user id 72: [2025-08-27T22:38:41.443Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-27T22:38:41.443Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-27T22:38:41.443Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-27T22:38:41.443Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-27T22:38:41.444Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-27T22:38:41.444Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (55334.551 ms) ====== [2025-08-27T22:38:41.444Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-08-27T22:38:41.444Z] GC before operation: completed in 118.612 ms, heap usage 117.246 MB -> 87.999 MB. [2025-08-27T22:38:50.097Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T22:38:57.152Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T22:39:04.212Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T22:39:11.255Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T22:39:14.884Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T22:39:19.506Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T22:39:24.103Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T22:39:27.718Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T22:39:28.391Z] 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. [2025-08-27T22:39:28.391Z] The best model improves the baseline by 14.52%. [2025-08-27T22:39:28.714Z] Top recommended movies for user id 72: [2025-08-27T22:39:28.714Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-27T22:39:28.714Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-27T22:39:28.714Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-27T22:39:28.714Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-27T22:39:28.714Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-27T22:39:28.714Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (47284.094 ms) ====== [2025-08-27T22:39:28.714Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-08-27T22:39:28.714Z] GC before operation: completed in 112.892 ms, heap usage 116.764 MB -> 88.920 MB. [2025-08-27T22:39:35.754Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T22:39:44.447Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T22:39:51.477Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T22:39:58.521Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T22:40:01.343Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T22:40:05.921Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T22:40:10.492Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T22:40:14.114Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T22:40:14.114Z] 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. [2025-08-27T22:40:14.461Z] The best model improves the baseline by 14.52%. [2025-08-27T22:40:14.461Z] Top recommended movies for user id 72: [2025-08-27T22:40:14.461Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-27T22:40:14.461Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-27T22:40:14.461Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-27T22:40:14.461Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-27T22:40:14.461Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-27T22:40:14.461Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (45747.501 ms) ====== [2025-08-27T22:40:14.461Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-08-27T22:40:14.777Z] GC before operation: completed in 113.937 ms, heap usage 269.449 MB -> 89.873 MB. [2025-08-27T22:40:21.799Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T22:40:28.858Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T22:40:35.928Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T22:40:42.971Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T22:40:46.615Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T22:40:51.183Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T22:40:55.744Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T22:40:59.385Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T22:40:59.717Z] 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. [2025-08-27T22:40:59.717Z] The best model improves the baseline by 14.52%. [2025-08-27T22:41:00.096Z] Top recommended movies for user id 72: [2025-08-27T22:41:00.096Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-27T22:41:00.096Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-27T22:41:00.096Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-27T22:41:00.096Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-27T22:41:00.096Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-27T22:41:00.096Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (45263.689 ms) ====== [2025-08-27T22:41:00.096Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-08-27T22:41:00.096Z] GC before operation: completed in 114.684 ms, heap usage 168.419 MB -> 90.004 MB. [2025-08-27T22:41:07.142Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T22:41:14.208Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T22:41:22.864Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T22:41:28.585Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T22:41:33.152Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T22:41:36.767Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T22:41:41.358Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T22:41:44.995Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T22:41:45.334Z] 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. [2025-08-27T22:41:45.334Z] The best model improves the baseline by 14.52%. [2025-08-27T22:41:45.694Z] Top recommended movies for user id 72: [2025-08-27T22:41:45.694Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-27T22:41:45.694Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-27T22:41:45.694Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-27T22:41:45.694Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-27T22:41:45.694Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-27T22:41:45.694Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (45490.231 ms) ====== [2025-08-27T22:41:45.694Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-08-27T22:41:45.694Z] GC before operation: completed in 113.398 ms, heap usage 389.803 MB -> 90.206 MB. [2025-08-27T22:41:52.736Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T22:41:59.776Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T22:42:06.817Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T22:42:13.871Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T22:42:17.512Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T22:42:22.089Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T22:42:25.705Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T22:42:30.321Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T22:42:30.321Z] 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. [2025-08-27T22:42:30.321Z] The best model improves the baseline by 14.52%. [2025-08-27T22:42:30.321Z] Top recommended movies for user id 72: [2025-08-27T22:42:30.321Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-27T22:42:30.321Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-27T22:42:30.321Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-27T22:42:30.321Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-27T22:42:30.321Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-27T22:42:30.321Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (44754.975 ms) ====== [2025-08-27T22:42:30.321Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-08-27T22:42:30.639Z] GC before operation: completed in 117.208 ms, heap usage 313.796 MB -> 90.449 MB. [2025-08-27T22:42:37.665Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T22:42:44.703Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T22:42:51.768Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T22:42:58.806Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T22:43:02.430Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T22:43:06.054Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T22:43:10.754Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T22:43:14.373Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T22:43:15.145Z] 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. [2025-08-27T22:43:15.145Z] The best model improves the baseline by 14.52%. [2025-08-27T22:43:15.145Z] Top recommended movies for user id 72: [2025-08-27T22:43:15.145Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-27T22:43:15.145Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-27T22:43:15.145Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-27T22:43:15.145Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-27T22:43:15.145Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-27T22:43:15.145Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (44708.138 ms) ====== [2025-08-27T22:43:15.145Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-08-27T22:43:15.465Z] GC before operation: completed in 118.674 ms, heap usage 359.612 MB -> 90.493 MB. [2025-08-27T22:43:22.484Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T22:43:29.526Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T22:43:36.587Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T22:43:43.634Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T22:43:47.247Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T22:43:50.877Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T22:43:55.452Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T22:43:59.073Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T22:43:59.407Z] 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. [2025-08-27T22:43:59.407Z] The best model improves the baseline by 14.52%. [2025-08-27T22:43:59.733Z] Top recommended movies for user id 72: [2025-08-27T22:43:59.733Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-27T22:43:59.733Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-27T22:43:59.733Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-27T22:43:59.733Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-27T22:43:59.733Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-27T22:43:59.733Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (44460.822 ms) ====== [2025-08-27T22:43:59.733Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-08-27T22:44:00.053Z] GC before operation: completed in 115.121 ms, heap usage 198.330 MB -> 90.536 MB. [2025-08-27T22:44:07.098Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T22:44:14.167Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T22:44:21.213Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T22:44:28.250Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T22:44:31.067Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T22:44:35.635Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T22:44:40.187Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T22:44:43.814Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T22:44:43.814Z] 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. [2025-08-27T22:44:43.814Z] The best model improves the baseline by 14.52%. [2025-08-27T22:44:44.140Z] Top recommended movies for user id 72: [2025-08-27T22:44:44.140Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-27T22:44:44.140Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-27T22:44:44.140Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-27T22:44:44.140Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-27T22:44:44.140Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-27T22:44:44.140Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (44230.093 ms) ====== [2025-08-27T22:44:44.140Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-08-27T22:44:44.140Z] GC before operation: completed in 113.206 ms, heap usage 118.328 MB -> 90.292 MB. [2025-08-27T22:44:51.166Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T22:44:58.233Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T22:45:05.267Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T22:45:12.295Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T22:45:15.966Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T22:45:19.687Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T22:45:24.257Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T22:45:27.118Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T22:45:27.795Z] 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. [2025-08-27T22:45:27.795Z] The best model improves the baseline by 14.52%. [2025-08-27T22:45:28.118Z] Top recommended movies for user id 72: [2025-08-27T22:45:28.118Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-27T22:45:28.118Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-27T22:45:28.118Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-27T22:45:28.118Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-27T22:45:28.118Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-27T22:45:28.118Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (43868.190 ms) ====== [2025-08-27T22:45:28.118Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-08-27T22:45:28.118Z] GC before operation: completed in 110.317 ms, heap usage 178.848 MB -> 90.565 MB. [2025-08-27T22:45:35.250Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T22:45:42.284Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T22:45:49.363Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T22:45:56.388Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T22:46:00.042Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T22:46:03.717Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T22:46:08.298Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T22:46:11.923Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T22:46:12.264Z] 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. [2025-08-27T22:46:12.264Z] The best model improves the baseline by 14.52%. [2025-08-27T22:46:12.626Z] Top recommended movies for user id 72: [2025-08-27T22:46:12.626Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-27T22:46:12.626Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-27T22:46:12.626Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-27T22:46:12.626Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-27T22:46:12.626Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-27T22:46:12.626Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (44215.006 ms) ====== [2025-08-27T22:46:12.626Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-08-27T22:46:12.626Z] GC before operation: completed in 113.822 ms, heap usage 249.175 MB -> 90.270 MB. [2025-08-27T22:46:19.701Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T22:46:26.737Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T22:46:33.935Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T22:46:40.958Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T22:46:43.769Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T22:46:48.340Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T22:46:51.967Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T22:46:55.723Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T22:46:56.416Z] 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. [2025-08-27T22:46:56.416Z] The best model improves the baseline by 14.52%. [2025-08-27T22:46:56.416Z] Top recommended movies for user id 72: [2025-08-27T22:46:56.416Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-27T22:46:56.416Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-27T22:46:56.416Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-27T22:46:56.416Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-27T22:46:56.416Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-27T22:46:56.416Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (43907.999 ms) ====== [2025-08-27T22:46:56.416Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-08-27T22:46:56.735Z] GC before operation: completed in 113.282 ms, heap usage 389.419 MB -> 90.690 MB. [2025-08-27T22:47:03.785Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T22:47:10.825Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T22:47:17.873Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T22:47:23.562Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T22:47:28.158Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T22:47:31.876Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T22:47:36.450Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T22:47:40.092Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T22:47:40.092Z] 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. [2025-08-27T22:47:40.092Z] The best model improves the baseline by 14.52%. [2025-08-27T22:47:40.418Z] Top recommended movies for user id 72: [2025-08-27T22:47:40.418Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-27T22:47:40.418Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-27T22:47:40.418Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-27T22:47:40.418Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-27T22:47:40.418Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-27T22:47:40.418Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (43825.205 ms) ====== [2025-08-27T22:47:40.418Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-08-27T22:47:40.418Z] GC before operation: completed in 111.540 ms, heap usage 184.607 MB -> 90.598 MB. [2025-08-27T22:47:47.462Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T22:47:54.497Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T22:48:01.607Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T22:48:08.619Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T22:48:12.252Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T22:48:15.887Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T22:48:20.491Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T22:48:24.138Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T22:48:24.512Z] 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. [2025-08-27T22:48:24.512Z] The best model improves the baseline by 14.52%. [2025-08-27T22:48:24.512Z] Top recommended movies for user id 72: [2025-08-27T22:48:24.512Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-27T22:48:24.512Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-27T22:48:24.512Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-27T22:48:24.512Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-27T22:48:24.512Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-27T22:48:24.512Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (44055.287 ms) ====== [2025-08-27T22:48:24.512Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-08-27T22:48:24.840Z] GC before operation: completed in 112.117 ms, heap usage 204.135 MB -> 90.459 MB. [2025-08-27T22:48:31.885Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T22:48:38.956Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T22:48:45.998Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T22:48:53.047Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T22:48:55.936Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T22:48:59.557Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T22:49:04.116Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T22:49:07.730Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T22:49:08.490Z] 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. [2025-08-27T22:49:08.490Z] The best model improves the baseline by 14.52%. [2025-08-27T22:49:08.490Z] Top recommended movies for user id 72: [2025-08-27T22:49:08.490Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-27T22:49:08.490Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-27T22:49:08.490Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-27T22:49:08.490Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-27T22:49:08.490Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-27T22:49:08.490Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (43862.833 ms) ====== [2025-08-27T22:49:08.490Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-08-27T22:49:08.823Z] GC before operation: completed in 111.679 ms, heap usage 357.569 MB -> 90.918 MB. [2025-08-27T22:49:15.856Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T22:49:22.897Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T22:49:29.920Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T22:49:35.642Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T22:49:40.250Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T22:49:43.881Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T22:49:48.497Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T22:49:51.620Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T22:49:52.290Z] 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. [2025-08-27T22:49:52.290Z] The best model improves the baseline by 14.52%. [2025-08-27T22:49:52.609Z] Top recommended movies for user id 72: [2025-08-27T22:49:52.609Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-27T22:49:52.609Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-27T22:49:52.609Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-27T22:49:52.609Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-27T22:49:52.609Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-27T22:49:52.609Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (43852.260 ms) ====== [2025-08-27T22:49:52.609Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-08-27T22:49:52.609Z] GC before operation: completed in 111.958 ms, heap usage 284.935 MB -> 90.675 MB. [2025-08-27T22:49:59.654Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T22:50:06.679Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T22:50:13.731Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T22:50:19.433Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T22:50:23.075Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T22:50:26.694Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T22:50:31.261Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T22:50:34.901Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T22:50:34.901Z] 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. [2025-08-27T22:50:35.235Z] The best model improves the baseline by 14.52%. [2025-08-27T22:50:35.235Z] Top recommended movies for user id 72: [2025-08-27T22:50:35.235Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-27T22:50:35.235Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-27T22:50:35.235Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-27T22:50:35.235Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-27T22:50:35.235Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-27T22:50:35.235Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (42664.256 ms) ====== [2025-08-27T22:50:35.235Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-08-27T22:50:35.563Z] GC before operation: completed in 113.411 ms, heap usage 208.789 MB -> 92.371 MB. [2025-08-27T22:50:42.587Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T22:50:49.724Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T22:50:56.778Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T22:51:03.830Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T22:51:06.647Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T22:51:11.201Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T22:51:14.870Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T22:51:18.483Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T22:51:19.182Z] 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. [2025-08-27T22:51:19.182Z] The best model improves the baseline by 14.52%. [2025-08-27T22:51:19.182Z] Top recommended movies for user id 72: [2025-08-27T22:51:19.182Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-27T22:51:19.182Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-27T22:51:19.182Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-27T22:51:19.182Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-27T22:51:19.182Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-27T22:51:19.182Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (43829.217 ms) ====== [2025-08-27T22:51:19.182Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-08-27T22:51:19.501Z] GC before operation: completed in 117.445 ms, heap usage 121.527 MB -> 93.542 MB. [2025-08-27T22:51:26.585Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T22:51:32.279Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T22:51:39.359Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T22:51:46.420Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T22:51:49.241Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T22:51:52.872Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T22:51:57.445Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T22:52:01.049Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T22:52:01.453Z] 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. [2025-08-27T22:52:01.453Z] The best model improves the baseline by 14.52%. [2025-08-27T22:52:01.453Z] Top recommended movies for user id 72: [2025-08-27T22:52:01.453Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-27T22:52:01.453Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-27T22:52:01.453Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-27T22:52:01.453Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-27T22:52:01.453Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-27T22:52:01.453Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (42155.190 ms) ====== [2025-08-27T22:52:01.453Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-08-27T22:52:01.783Z] GC before operation: completed in 115.340 ms, heap usage 196.356 MB -> 90.539 MB. [2025-08-27T22:52:08.844Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-08-27T22:52:15.889Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-08-27T22:52:22.954Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-08-27T22:52:28.652Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-08-27T22:52:33.220Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-08-27T22:52:36.849Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-08-27T22:52:40.473Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-08-27T22:52:45.055Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-08-27T22:52:45.055Z] 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. [2025-08-27T22:52:45.055Z] The best model improves the baseline by 14.52%. [2025-08-27T22:52:45.055Z] Top recommended movies for user id 72: [2025-08-27T22:52:45.055Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-08-27T22:52:45.055Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-08-27T22:52:45.055Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-08-27T22:52:45.055Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-08-27T22:52:45.055Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-08-27T22:52:45.055Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (43480.817 ms) ====== [2025-08-27T22:52:45.727Z] ----------------------------------- [2025-08-27T22:52:45.727Z] renaissance-movie-lens_0_PASSED [2025-08-27T22:52:45.727Z] ----------------------------------- [2025-08-27T22:52:46.033Z] [2025-08-27T22:52:46.033Z] TEST TEARDOWN: [2025-08-27T22:52:46.033Z] Nothing to be done for teardown. [2025-08-27T22:52:46.335Z] renaissance-movie-lens_0 Finish Time: Wed Aug 27 22:52:46 2025 Epoch Time (ms): 1756335166080