[2025-05-08T10:16:57.501Z] Running test renaissance-movie-lens_0 ... [2025-05-08T10:16:57.501Z] =============================================== [2025-05-08T10:16:57.811Z] renaissance-movie-lens_0 Start Time: Thu May 8 10:16:57 2025 Epoch Time (ms): 1746699417496 [2025-05-08T10:16:57.811Z] variation: NoOptions [2025-05-08T10:16:57.811Z] JVM_OPTIONS: [2025-05-08T10:16:57.811Z] { \ [2025-05-08T10:16:57.811Z] echo ""; echo "TEST SETUP:"; \ [2025-05-08T10:16:57.811Z] echo "Nothing to be done for setup."; \ [2025-05-08T10:16:57.811Z] mkdir -p "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17466972283983\\renaissance-movie-lens_0"; \ [2025-05-08T10:16:57.811Z] cd "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17466972283983\\renaissance-movie-lens_0"; \ [2025-05-08T10:16:57.811Z] echo ""; echo "TESTING:"; \ [2025-05-08T10:16:57.811Z] "c:/jenkins/workspace/Test_openjdk11_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_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests///..//jvmtest\\perf\\renaissance\\renaissance.jar" --json ""C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17466972283983\\renaissance-movie-lens_0"\\movie-lens.json" movie-lens; \ [2025-05-08T10:16:57.811Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/; rm -f -r "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17466972283983\\renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2025-05-08T10:16:57.811Z] echo ""; echo "TEST TEARDOWN:"; \ [2025-05-08T10:16:57.811Z] echo "Nothing to be done for teardown."; \ [2025-05-08T10:16:57.811Z] } 2>&1 | tee -a "C:/jenkins/workspace/Test_openjdk11_hs_extended.perf_x86-64_windows/aqa-tests/\\TKG\\output_17466972283983\\TestTargetResult"; [2025-05-08T10:16:58.140Z] [2025-05-08T10:16:58.140Z] TEST SETUP: [2025-05-08T10:16:58.140Z] Nothing to be done for setup. [2025-05-08T10:16:58.140Z] [2025-05-08T10:16:58.140Z] TESTING: [2025-05-08T10:17:11.068Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2025-05-08T10:17:19.830Z] 10:17:18.725 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2025-05-08T10:17:21.592Z] Got 100004 ratings from 671 users on 9066 movies. [2025-05-08T10:17:22.304Z] Training: 60056, validation: 20285, test: 19854 [2025-05-08T10:17:22.304Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2025-05-08T10:17:22.304Z] GC before operation: completed in 186.738 ms, heap usage 194.044 MB -> 74.835 MB. [2025-05-08T10:17:35.382Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-08T10:17:46.028Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-08T10:17:54.792Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-08T10:18:03.557Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-08T10:18:09.338Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-08T10:18:14.030Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-08T10:18:19.850Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-08T10:18:24.489Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-08T10:18:24.815Z] 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. [2025-05-08T10:18:24.815Z] The best model improves the baseline by 14.52%. [2025-05-08T10:18:25.151Z] Top recommended movies for user id 72: [2025-05-08T10:18:25.151Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-08T10:18:25.151Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-08T10:18:25.151Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-08T10:18:25.151Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-08T10:18:25.151Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-08T10:18:25.151Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (62776.022 ms) ====== [2025-05-08T10:18:25.151Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2025-05-08T10:18:25.151Z] GC before operation: completed in 157.021 ms, heap usage 264.868 MB -> 89.597 MB. [2025-05-08T10:18:33.884Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-08T10:18:41.066Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-08T10:18:49.853Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-08T10:18:56.981Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-08T10:19:01.639Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-08T10:19:06.339Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-08T10:19:10.972Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-08T10:19:15.620Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-08T10:19:15.950Z] 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. [2025-05-08T10:19:15.950Z] The best model improves the baseline by 14.52%. [2025-05-08T10:19:16.367Z] Top recommended movies for user id 72: [2025-05-08T10:19:16.367Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-08T10:19:16.367Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-08T10:19:16.367Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-08T10:19:16.367Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-08T10:19:16.367Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-08T10:19:16.367Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (51153.833 ms) ====== [2025-05-08T10:19:16.367Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2025-05-08T10:19:16.700Z] GC before operation: completed in 160.315 ms, heap usage 181.327 MB -> 87.942 MB. [2025-05-08T10:19:25.432Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-08T10:19:32.632Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-08T10:19:41.381Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-08T10:19:48.509Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-08T10:19:52.323Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-08T10:19:56.979Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-08T10:20:01.698Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-08T10:20:06.345Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-08T10:20:06.345Z] 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. [2025-05-08T10:20:06.345Z] The best model improves the baseline by 14.52%. [2025-05-08T10:20:06.742Z] Top recommended movies for user id 72: [2025-05-08T10:20:06.743Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-08T10:20:06.743Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-08T10:20:06.743Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-08T10:20:06.743Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-08T10:20:06.743Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-08T10:20:06.743Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (49965.889 ms) ====== [2025-05-08T10:20:06.743Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2025-05-08T10:20:06.743Z] GC before operation: completed in 168.467 ms, heap usage 179.708 MB -> 88.574 MB. [2025-05-08T10:20:15.497Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-08T10:20:22.661Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-08T10:20:31.448Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-08T10:20:38.600Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-08T10:20:43.310Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-08T10:20:46.995Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-08T10:20:52.829Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-08T10:20:56.554Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-08T10:20:56.894Z] 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. [2025-05-08T10:20:56.894Z] The best model improves the baseline by 14.52%. [2025-05-08T10:20:57.248Z] Top recommended movies for user id 72: [2025-05-08T10:20:57.248Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-08T10:20:57.248Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-08T10:20:57.248Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-08T10:20:57.248Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-08T10:20:57.248Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-08T10:20:57.248Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (50371.645 ms) ====== [2025-05-08T10:20:57.248Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2025-05-08T10:20:57.248Z] GC before operation: completed in 154.860 ms, heap usage 216.433 MB -> 88.860 MB. [2025-05-08T10:21:05.984Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-08T10:21:13.096Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-08T10:21:21.867Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-08T10:21:28.994Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-08T10:21:32.680Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-08T10:21:37.356Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-08T10:21:42.376Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-08T10:21:47.054Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-08T10:21:47.054Z] 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. [2025-05-08T10:21:47.054Z] The best model improves the baseline by 14.52%. [2025-05-08T10:21:47.404Z] Top recommended movies for user id 72: [2025-05-08T10:21:47.404Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-08T10:21:47.404Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-08T10:21:47.404Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-08T10:21:47.404Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-08T10:21:47.404Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-08T10:21:47.404Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (50195.090 ms) ====== [2025-05-08T10:21:47.404Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2025-05-08T10:21:47.742Z] GC before operation: completed in 166.475 ms, heap usage 117.254 MB -> 88.691 MB. [2025-05-08T10:21:54.891Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-08T10:22:03.617Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-08T10:22:10.742Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-08T10:22:19.466Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-08T10:22:23.186Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-08T10:22:27.806Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-08T10:22:32.443Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-08T10:22:36.205Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-08T10:22:36.536Z] 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. [2025-05-08T10:22:36.536Z] The best model improves the baseline by 14.52%. [2025-05-08T10:22:36.896Z] Top recommended movies for user id 72: [2025-05-08T10:22:36.896Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-08T10:22:36.896Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-08T10:22:36.896Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-08T10:22:36.896Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-08T10:22:36.896Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-08T10:22:36.896Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (49314.374 ms) ====== [2025-05-08T10:22:36.896Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2025-05-08T10:22:37.219Z] GC before operation: completed in 162.631 ms, heap usage 178.621 MB -> 89.113 MB. [2025-05-08T10:22:44.333Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-08T10:22:51.488Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-08T10:23:00.243Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-08T10:23:07.364Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-08T10:23:11.040Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-08T10:23:15.698Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-08T10:23:20.337Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-08T10:23:25.001Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-08T10:23:25.001Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-05-08T10:23:25.001Z] The best model improves the baseline by 14.52%. [2025-05-08T10:23:25.409Z] Top recommended movies for user id 72: [2025-05-08T10:23:25.409Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-08T10:23:25.409Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-08T10:23:25.409Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-08T10:23:25.409Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-08T10:23:25.409Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-08T10:23:25.409Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (48341.839 ms) ====== [2025-05-08T10:23:25.409Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2025-05-08T10:23:25.749Z] GC before operation: completed in 159.240 ms, heap usage 213.217 MB -> 89.056 MB. [2025-05-08T10:23:32.910Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-08T10:23:41.661Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-08T10:23:48.822Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-08T10:23:55.961Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-08T10:24:00.602Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-08T10:24:04.312Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-08T10:24:08.988Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-08T10:24:13.624Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-08T10:24:13.955Z] 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. [2025-05-08T10:24:13.955Z] The best model improves the baseline by 14.52%. [2025-05-08T10:24:14.296Z] Top recommended movies for user id 72: [2025-05-08T10:24:14.296Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-08T10:24:14.296Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-08T10:24:14.296Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-08T10:24:14.296Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-08T10:24:14.296Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-08T10:24:14.296Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (48637.272 ms) ====== [2025-05-08T10:24:14.296Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2025-05-08T10:24:14.296Z] GC before operation: completed in 148.098 ms, heap usage 169.597 MB -> 89.258 MB. [2025-05-08T10:24:23.035Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-08T10:24:30.142Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-08T10:24:37.279Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-08T10:24:44.426Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-08T10:24:49.083Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-08T10:24:53.733Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-08T10:24:58.382Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-08T10:25:02.146Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-08T10:25:02.849Z] 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. [2025-05-08T10:25:02.849Z] The best model improves the baseline by 14.52%. [2025-05-08T10:25:03.175Z] Top recommended movies for user id 72: [2025-05-08T10:25:03.175Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-08T10:25:03.175Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-08T10:25:03.175Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-08T10:25:03.175Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-08T10:25:03.175Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-08T10:25:03.175Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (48795.906 ms) ====== [2025-05-08T10:25:03.175Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2025-05-08T10:25:03.175Z] GC before operation: completed in 151.075 ms, heap usage 122.169 MB -> 89.016 MB. [2025-05-08T10:25:11.967Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-08T10:25:19.187Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-08T10:25:27.905Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-08T10:25:35.021Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-08T10:25:39.686Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-08T10:25:43.375Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-08T10:25:49.164Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-08T10:25:52.877Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-08T10:25:53.212Z] 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. [2025-05-08T10:25:53.212Z] The best model improves the baseline by 14.52%. [2025-05-08T10:25:53.561Z] Top recommended movies for user id 72: [2025-05-08T10:25:53.561Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-08T10:25:53.561Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-08T10:25:53.561Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-08T10:25:53.561Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-08T10:25:53.561Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-08T10:25:53.561Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (50168.477 ms) ====== [2025-05-08T10:25:53.561Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2025-05-08T10:25:53.561Z] GC before operation: completed in 152.297 ms, heap usage 171.691 MB -> 89.314 MB. [2025-05-08T10:26:02.287Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-08T10:26:08.075Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-08T10:26:16.827Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-08T10:26:23.974Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-08T10:26:27.670Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-08T10:26:32.306Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-08T10:26:37.024Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-08T10:26:41.717Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-08T10:26:41.717Z] 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. [2025-05-08T10:26:41.717Z] The best model improves the baseline by 14.52%. [2025-05-08T10:26:41.717Z] Top recommended movies for user id 72: [2025-05-08T10:26:41.717Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-08T10:26:41.717Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-08T10:26:41.717Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-08T10:26:41.717Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-08T10:26:41.717Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-08T10:26:41.717Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (48107.323 ms) ====== [2025-05-08T10:26:41.717Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2025-05-08T10:26:42.063Z] GC before operation: completed in 149.136 ms, heap usage 202.726 MB -> 89.073 MB. [2025-05-08T10:26:49.216Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-08T10:26:58.034Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-08T10:27:05.157Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-08T10:27:12.289Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-08T10:27:16.956Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-08T10:27:21.595Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-08T10:27:26.292Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-08T10:27:31.080Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-08T10:27:31.080Z] 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. [2025-05-08T10:27:31.080Z] The best model improves the baseline by 14.52%. [2025-05-08T10:27:31.080Z] Top recommended movies for user id 72: [2025-05-08T10:27:31.080Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-08T10:27:31.080Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-08T10:27:31.080Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-08T10:27:31.080Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-08T10:27:31.080Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-08T10:27:31.080Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (49237.058 ms) ====== [2025-05-08T10:27:31.080Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2025-05-08T10:27:31.417Z] GC before operation: completed in 147.827 ms, heap usage 241.474 MB -> 89.305 MB. [2025-05-08T10:27:38.565Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-08T10:27:47.326Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-08T10:27:56.061Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-08T10:28:01.826Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-08T10:28:06.493Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-08T10:28:11.155Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-08T10:28:15.832Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-08T10:28:20.521Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-08T10:28:20.521Z] 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. [2025-05-08T10:28:20.521Z] The best model improves the baseline by 14.52%. [2025-05-08T10:28:20.902Z] Top recommended movies for user id 72: [2025-05-08T10:28:20.902Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-08T10:28:20.902Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-08T10:28:20.902Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-08T10:28:20.902Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-08T10:28:20.902Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-08T10:28:20.902Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (49638.790 ms) ====== [2025-05-08T10:28:20.902Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2025-05-08T10:28:21.256Z] GC before operation: completed in 166.059 ms, heap usage 206.797 MB -> 89.395 MB. [2025-05-08T10:28:30.029Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-08T10:28:37.136Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-08T10:28:44.270Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-08T10:28:51.458Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-08T10:28:56.146Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-08T10:29:00.827Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-08T10:29:05.500Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-08T10:29:09.178Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-08T10:29:09.932Z] 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. [2025-05-08T10:29:09.932Z] The best model improves the baseline by 14.52%. [2025-05-08T10:29:09.932Z] Top recommended movies for user id 72: [2025-05-08T10:29:09.932Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-08T10:29:09.932Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-08T10:29:09.932Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-08T10:29:09.932Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-08T10:29:09.932Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-08T10:29:09.932Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (48864.759 ms) ====== [2025-05-08T10:29:09.932Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2025-05-08T10:29:10.331Z] GC before operation: completed in 148.621 ms, heap usage 167.767 MB -> 89.226 MB. [2025-05-08T10:29:27.720Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-08T10:29:28.845Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-08T10:29:41.909Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-08T10:29:41.909Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-08T10:29:45.517Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-08T10:29:49.254Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-08T10:29:54.089Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-08T10:29:58.746Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-08T10:29:58.746Z] 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. [2025-05-08T10:29:58.746Z] The best model improves the baseline by 14.52%. [2025-05-08T10:29:59.147Z] Top recommended movies for user id 72: [2025-05-08T10:29:59.147Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-08T10:29:59.147Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-08T10:29:59.147Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-08T10:29:59.147Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-08T10:29:59.147Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-08T10:29:59.147Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (49092.759 ms) ====== [2025-05-08T10:29:59.147Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2025-05-08T10:29:59.490Z] GC before operation: completed in 152.636 ms, heap usage 122.830 MB -> 89.340 MB. [2025-05-08T10:30:08.215Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-08T10:30:15.341Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-08T10:30:22.493Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-08T10:30:29.623Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-08T10:30:34.280Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-08T10:30:37.969Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-08T10:30:42.617Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-08T10:30:47.263Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-08T10:30:47.263Z] 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. [2025-05-08T10:30:47.263Z] The best model improves the baseline by 14.52%. [2025-05-08T10:30:47.607Z] Top recommended movies for user id 72: [2025-05-08T10:30:47.607Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-08T10:30:47.607Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-08T10:30:47.607Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-08T10:30:47.607Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-08T10:30:47.607Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-08T10:30:47.607Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (48189.098 ms) ====== [2025-05-08T10:30:47.607Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2025-05-08T10:30:47.607Z] GC before operation: completed in 156.804 ms, heap usage 175.618 MB -> 89.273 MB. [2025-05-08T10:30:56.387Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-08T10:31:03.512Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-08T10:31:12.250Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-08T10:31:19.357Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-08T10:31:23.055Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-08T10:31:27.699Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-08T10:31:32.412Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-08T10:31:37.056Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-08T10:31:37.407Z] 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. [2025-05-08T10:31:37.407Z] The best model improves the baseline by 14.52%. [2025-05-08T10:31:37.730Z] Top recommended movies for user id 72: [2025-05-08T10:31:37.730Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-08T10:31:37.730Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-08T10:31:37.730Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-08T10:31:37.730Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-08T10:31:37.730Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-08T10:31:37.730Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (49925.729 ms) ====== [2025-05-08T10:31:37.730Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2025-05-08T10:31:37.730Z] GC before operation: completed in 164.760 ms, heap usage 201.221 MB -> 89.368 MB. [2025-05-08T10:31:44.864Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-08T10:31:53.572Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-08T10:32:02.291Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-08T10:32:08.077Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-08T10:32:12.709Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-08T10:32:17.367Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-08T10:32:22.005Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-08T10:32:25.701Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-08T10:32:26.502Z] 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. [2025-05-08T10:32:26.502Z] The best model improves the baseline by 14.52%. [2025-05-08T10:32:26.502Z] Top recommended movies for user id 72: [2025-05-08T10:32:26.502Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-08T10:32:26.502Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-08T10:32:26.502Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-08T10:32:26.502Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-08T10:32:26.502Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-08T10:32:26.502Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (48764.319 ms) ====== [2025-05-08T10:32:26.502Z] ====== movie-lens (apache-spark) [default], iteration 18 started ====== [2025-05-08T10:32:26.827Z] GC before operation: completed in 146.757 ms, heap usage 243.103 MB -> 89.214 MB. [2025-05-08T10:32:33.980Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-08T10:32:41.099Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-08T10:32:49.853Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-08T10:32:57.024Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-08T10:33:01.687Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-08T10:33:05.355Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-08T10:33:11.116Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-08T10:33:14.788Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-08T10:33:14.788Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2025-05-08T10:33:15.200Z] The best model improves the baseline by 14.52%. [2025-05-08T10:33:15.200Z] Top recommended movies for user id 72: [2025-05-08T10:33:15.200Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-08T10:33:15.200Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-08T10:33:15.200Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-08T10:33:15.200Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-08T10:33:15.200Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-08T10:33:15.200Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (48549.121 ms) ====== [2025-05-08T10:33:15.200Z] ====== movie-lens (apache-spark) [default], iteration 19 started ====== [2025-05-08T10:33:15.536Z] GC before operation: completed in 146.893 ms, heap usage 180.353 MB -> 89.304 MB. [2025-05-08T10:33:24.247Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2025-05-08T10:33:31.406Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2025-05-08T10:33:40.149Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2025-05-08T10:33:47.298Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2025-05-08T10:33:50.983Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2025-05-08T10:33:55.619Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2025-05-08T10:34:00.356Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2025-05-08T10:34:04.034Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2025-05-08T10:34:04.367Z] 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. [2025-05-08T10:34:04.694Z] The best model improves the baseline by 14.52%. [2025-05-08T10:34:04.694Z] Top recommended movies for user id 72: [2025-05-08T10:34:04.694Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2025-05-08T10:34:04.694Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2025-05-08T10:34:04.694Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2025-05-08T10:34:04.694Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2025-05-08T10:34:04.694Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2025-05-08T10:34:04.694Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (49416.246 ms) ====== [2025-05-08T10:34:05.415Z] ----------------------------------- [2025-05-08T10:34:05.415Z] renaissance-movie-lens_0_PASSED [2025-05-08T10:34:05.415Z] ----------------------------------- [2025-05-08T10:34:05.727Z] [2025-05-08T10:34:05.727Z] TEST TEARDOWN: [2025-05-08T10:34:05.727Z] Nothing to be done for teardown. [2025-05-08T10:34:06.051Z] renaissance-movie-lens_0 Finish Time: Thu May 8 10:34:05 2025 Epoch Time (ms): 1746700445733