renaissance-movie-lens_0
[2025-08-21T05:11:23.703Z] Running test renaissance-movie-lens_0 ...
[2025-08-21T05:11:23.703Z] ===============================================
[2025-08-21T05:11:23.703Z] renaissance-movie-lens_0 Start Time: Thu Aug 21 05:11:22 2025 Epoch Time (ms): 1755753082951
[2025-08-21T05:11:23.703Z] variation: NoOptions
[2025-08-21T05:11:23.703Z] JVM_OPTIONS:
[2025-08-21T05:11:23.703Z] { \
[2025-08-21T05:11:23.703Z] echo ""; echo "TEST SETUP:"; \
[2025-08-21T05:11:23.703Z] echo "Nothing to be done for setup."; \
[2025-08-21T05:11:23.703Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux_testList_1/aqa-tests/TKG/../TKG/output_17557523512630/renaissance-movie-lens_0"; \
[2025-08-21T05:11:23.703Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux_testList_1/aqa-tests/TKG/../TKG/output_17557523512630/renaissance-movie-lens_0"; \
[2025-08-21T05:11:23.703Z] echo ""; echo "TESTING:"; \
[2025-08-21T05:11:23.703Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux_testList_1/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux_testList_1/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux_testList_1/aqa-tests/TKG/../TKG/output_17557523512630/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-08-21T05:11:23.703Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux_testList_1/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux_testList_1/aqa-tests/TKG/../TKG/output_17557523512630/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-08-21T05:11:23.703Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-08-21T05:11:23.703Z] echo "Nothing to be done for teardown."; \
[2025-08-21T05:11:23.703Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_x86-64_alpine-linux_testList_1/aqa-tests/TKG/../TKG/output_17557523512630/TestTargetResult";
[2025-08-21T05:11:23.703Z]
[2025-08-21T05:11:23.703Z] TEST SETUP:
[2025-08-21T05:11:23.703Z] Nothing to be done for setup.
[2025-08-21T05:11:23.703Z]
[2025-08-21T05:11:23.703Z] TESTING:
[2025-08-21T05:11:28.131Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2025-08-21T05:11:35.460Z] 05:11:34.242 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2025-08-21T05:11:37.044Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-08-21T05:11:37.044Z] Training: 60056, validation: 20285, test: 19854
[2025-08-21T05:11:37.044Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-08-21T05:11:37.816Z] GC before operation: completed in 134.160 ms, heap usage 416.749 MB -> 75.960 MB.
[2025-08-21T05:11:44.661Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-21T05:11:49.086Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-21T05:11:52.488Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-21T05:11:54.933Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-21T05:11:56.515Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-21T05:11:58.102Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-21T05:11:59.677Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-21T05:12:01.261Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-21T05:12:02.019Z] 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.
[2025-08-21T05:12:02.019Z] The best model improves the baseline by 14.52%.
[2025-08-21T05:12:02.019Z] Top recommended movies for user id 72:
[2025-08-21T05:12:02.019Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-21T05:12:02.019Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-21T05:12:02.019Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-21T05:12:02.019Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-21T05:12:02.019Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-21T05:12:02.019Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (24425.607 ms) ======
[2025-08-21T05:12:02.019Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-08-21T05:12:02.019Z] GC before operation: completed in 128.523 ms, heap usage 395.651 MB -> 89.945 MB.
[2025-08-21T05:12:04.481Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-21T05:12:08.910Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-21T05:12:11.364Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-21T05:12:14.762Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-21T05:12:16.341Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-21T05:12:17.921Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-21T05:12:19.497Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-21T05:12:21.069Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-21T05:12:21.069Z] 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.
[2025-08-21T05:12:21.069Z] The best model improves the baseline by 14.52%.
[2025-08-21T05:12:22.092Z] Top recommended movies for user id 72:
[2025-08-21T05:12:22.092Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-21T05:12:22.092Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-21T05:12:22.092Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-21T05:12:22.092Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-21T05:12:22.092Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-21T05:12:22.092Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (19466.457 ms) ======
[2025-08-21T05:12:22.092Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-08-21T05:12:22.092Z] GC before operation: completed in 116.040 ms, heap usage 295.800 MB -> 88.809 MB.
[2025-08-21T05:12:24.553Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-21T05:12:27.001Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-21T05:12:29.454Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-21T05:12:31.901Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-21T05:12:33.483Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-21T05:12:35.057Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-21T05:12:36.639Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-21T05:12:38.221Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-21T05:12:38.221Z] 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.
[2025-08-21T05:12:38.221Z] The best model improves the baseline by 14.52%.
[2025-08-21T05:12:38.221Z] Top recommended movies for user id 72:
[2025-08-21T05:12:38.221Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-21T05:12:38.221Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-21T05:12:38.221Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-21T05:12:38.221Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-21T05:12:38.221Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-21T05:12:38.221Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (16752.101 ms) ======
[2025-08-21T05:12:38.221Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-08-21T05:12:38.221Z] GC before operation: completed in 110.318 ms, heap usage 285.607 MB -> 89.351 MB.
[2025-08-21T05:12:40.671Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-21T05:12:43.122Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-21T05:12:45.589Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-21T05:12:48.036Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-21T05:12:49.613Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-21T05:12:50.384Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-21T05:12:51.966Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-21T05:12:53.539Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-21T05:12:53.539Z] 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.
[2025-08-21T05:12:53.539Z] The best model improves the baseline by 14.52%.
[2025-08-21T05:12:53.539Z] Top recommended movies for user id 72:
[2025-08-21T05:12:53.539Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-21T05:12:53.539Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-21T05:12:53.539Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-21T05:12:53.539Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-21T05:12:53.539Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-21T05:12:53.539Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (15097.389 ms) ======
[2025-08-21T05:12:53.539Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-08-21T05:12:53.539Z] GC before operation: completed in 118.365 ms, heap usage 184.691 MB -> 89.528 MB.
[2025-08-21T05:12:55.989Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-21T05:12:58.435Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-21T05:13:00.885Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-21T05:13:03.466Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-21T05:13:04.607Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-21T05:13:06.182Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-21T05:13:07.762Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-21T05:13:09.339Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-21T05:13:09.339Z] 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.
[2025-08-21T05:13:09.339Z] The best model improves the baseline by 14.52%.
[2025-08-21T05:13:09.339Z] Top recommended movies for user id 72:
[2025-08-21T05:13:09.339Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-21T05:13:09.339Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-21T05:13:09.339Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-21T05:13:09.339Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-21T05:13:09.339Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-21T05:13:09.339Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (15675.898 ms) ======
[2025-08-21T05:13:09.339Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-08-21T05:13:09.339Z] GC before operation: completed in 115.582 ms, heap usage 148.039 MB -> 89.492 MB.
[2025-08-21T05:13:11.795Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-21T05:13:14.247Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-21T05:13:16.700Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-21T05:13:19.154Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-21T05:13:20.730Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-21T05:13:22.319Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-21T05:13:23.894Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-21T05:13:24.663Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-21T05:13:25.422Z] 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.
[2025-08-21T05:13:25.422Z] The best model improves the baseline by 14.52%.
[2025-08-21T05:13:25.422Z] Top recommended movies for user id 72:
[2025-08-21T05:13:25.422Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-21T05:13:25.422Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-21T05:13:25.422Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-21T05:13:25.422Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-21T05:13:25.422Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-21T05:13:25.422Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (15676.110 ms) ======
[2025-08-21T05:13:25.422Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-08-21T05:13:25.423Z] GC before operation: completed in 119.276 ms, heap usage 456.729 MB -> 90.323 MB.
[2025-08-21T05:13:27.866Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-21T05:13:30.318Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-21T05:13:32.780Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-21T05:13:34.363Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-21T05:13:35.947Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-21T05:13:37.523Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-21T05:13:39.105Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-21T05:13:39.871Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-21T05:13:40.632Z] 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.
[2025-08-21T05:13:40.632Z] The best model improves the baseline by 14.52%.
[2025-08-21T05:13:40.632Z] Top recommended movies for user id 72:
[2025-08-21T05:13:40.632Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-21T05:13:40.632Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-21T05:13:40.632Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-21T05:13:40.632Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-21T05:13:40.632Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-21T05:13:40.632Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (15179.710 ms) ======
[2025-08-21T05:13:40.632Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-08-21T05:13:40.632Z] GC before operation: completed in 133.610 ms, heap usage 436.165 MB -> 90.130 MB.
[2025-08-21T05:13:43.082Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-21T05:13:45.532Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-21T05:13:47.636Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-21T05:13:50.104Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-21T05:13:50.870Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-21T05:13:52.452Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-21T05:13:54.027Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-21T05:13:55.602Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-21T05:13:55.602Z] 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.
[2025-08-21T05:13:55.602Z] The best model improves the baseline by 14.52%.
[2025-08-21T05:13:55.602Z] Top recommended movies for user id 72:
[2025-08-21T05:13:55.602Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-21T05:13:55.602Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-21T05:13:55.602Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-21T05:13:55.602Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-21T05:13:55.602Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-21T05:13:55.602Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (15205.112 ms) ======
[2025-08-21T05:13:55.602Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-08-21T05:13:56.362Z] GC before operation: completed in 123.745 ms, heap usage 376.148 MB -> 90.430 MB.
[2025-08-21T05:13:58.810Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-21T05:14:00.391Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-21T05:14:02.848Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-21T05:14:05.290Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-21T05:14:06.864Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-21T05:14:08.450Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-21T05:14:10.028Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-21T05:14:10.794Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-21T05:14:11.554Z] 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.
[2025-08-21T05:14:11.554Z] The best model improves the baseline by 14.52%.
[2025-08-21T05:14:11.554Z] Top recommended movies for user id 72:
[2025-08-21T05:14:11.554Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-21T05:14:11.554Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-21T05:14:11.554Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-21T05:14:11.554Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-21T05:14:11.554Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-21T05:14:11.554Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (15424.027 ms) ======
[2025-08-21T05:14:11.554Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-08-21T05:14:11.554Z] GC before operation: completed in 107.683 ms, heap usage 453.794 MB -> 90.370 MB.
[2025-08-21T05:14:14.003Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-21T05:14:15.713Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-21T05:14:18.172Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-21T05:14:20.619Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-21T05:14:22.202Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-21T05:14:22.970Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-21T05:14:24.546Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-21T05:14:26.125Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-21T05:14:26.125Z] 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.
[2025-08-21T05:14:26.125Z] The best model improves the baseline by 14.52%.
[2025-08-21T05:14:26.125Z] Top recommended movies for user id 72:
[2025-08-21T05:14:26.125Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-21T05:14:26.125Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-21T05:14:26.125Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-21T05:14:26.125Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-21T05:14:26.125Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-21T05:14:26.125Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (14865.948 ms) ======
[2025-08-21T05:14:26.125Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-08-21T05:14:26.887Z] GC before operation: completed in 121.697 ms, heap usage 458.003 MB -> 90.561 MB.
[2025-08-21T05:14:28.966Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-21T05:14:31.421Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-21T05:14:33.880Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-21T05:14:35.455Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-21T05:14:37.030Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-21T05:14:38.606Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-21T05:14:40.188Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-21T05:14:40.952Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-21T05:14:41.711Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-08-21T05:14:41.711Z] The best model improves the baseline by 14.52%.
[2025-08-21T05:14:41.711Z] Top recommended movies for user id 72:
[2025-08-21T05:14:41.711Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-21T05:14:41.711Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-21T05:14:41.711Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-21T05:14:41.711Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-21T05:14:41.711Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-21T05:14:41.711Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (15062.933 ms) ======
[2025-08-21T05:14:41.711Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-08-21T05:14:41.711Z] GC before operation: completed in 113.894 ms, heap usage 105.571 MB -> 92.289 MB.
[2025-08-21T05:14:44.154Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-21T05:14:46.598Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-21T05:14:49.053Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-21T05:14:50.625Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-21T05:14:52.199Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-21T05:14:53.782Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-21T05:14:55.361Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-21T05:14:56.127Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-21T05:14:56.895Z] 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.
[2025-08-21T05:14:56.895Z] The best model improves the baseline by 14.52%.
[2025-08-21T05:14:56.895Z] Top recommended movies for user id 72:
[2025-08-21T05:14:56.895Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-21T05:14:56.895Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-21T05:14:56.895Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-21T05:14:56.895Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-21T05:14:56.895Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-21T05:14:56.895Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (15110.749 ms) ======
[2025-08-21T05:14:56.895Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-08-21T05:14:56.895Z] GC before operation: completed in 111.357 ms, heap usage 379.063 MB -> 90.342 MB.
[2025-08-21T05:14:59.342Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-21T05:15:01.798Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-21T05:15:04.250Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-21T05:15:05.825Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-21T05:15:07.397Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-21T05:15:08.977Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-21T05:15:10.552Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-21T05:15:11.315Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-21T05:15:12.073Z] 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.
[2025-08-21T05:15:12.073Z] The best model improves the baseline by 14.52%.
[2025-08-21T05:15:12.073Z] Top recommended movies for user id 72:
[2025-08-21T05:15:12.073Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-21T05:15:12.073Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-21T05:15:12.073Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-21T05:15:12.073Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-21T05:15:12.073Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-21T05:15:12.073Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (15030.594 ms) ======
[2025-08-21T05:15:12.073Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-08-21T05:15:12.073Z] GC before operation: completed in 115.679 ms, heap usage 461.224 MB -> 90.593 MB.
[2025-08-21T05:15:14.745Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-21T05:15:16.326Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-21T05:15:18.801Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-21T05:15:21.250Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-21T05:15:22.825Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-21T05:15:24.400Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-21T05:15:25.977Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-21T05:15:26.741Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-21T05:15:27.500Z] 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.
[2025-08-21T05:15:27.500Z] The best model improves the baseline by 14.52%.
[2025-08-21T05:15:27.500Z] Top recommended movies for user id 72:
[2025-08-21T05:15:27.500Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-21T05:15:27.500Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-21T05:15:27.500Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-21T05:15:27.500Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-21T05:15:27.500Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-21T05:15:27.500Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (15312.414 ms) ======
[2025-08-21T05:15:27.500Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-08-21T05:15:27.501Z] GC before operation: completed in 110.406 ms, heap usage 122.919 MB -> 89.940 MB.
[2025-08-21T05:15:29.942Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-21T05:15:32.396Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-21T05:15:34.896Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-21T05:15:36.467Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-21T05:15:38.042Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-21T05:15:39.617Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-21T05:15:40.380Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-21T05:15:41.956Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-21T05:15:41.956Z] 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.
[2025-08-21T05:15:41.956Z] The best model improves the baseline by 14.52%.
[2025-08-21T05:15:42.719Z] Top recommended movies for user id 72:
[2025-08-21T05:15:42.719Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-21T05:15:42.719Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-21T05:15:42.719Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-21T05:15:42.719Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-21T05:15:42.719Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-21T05:15:42.719Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (14909.408 ms) ======
[2025-08-21T05:15:42.719Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-08-21T05:15:42.719Z] GC before operation: completed in 111.014 ms, heap usage 403.969 MB -> 90.555 MB.
[2025-08-21T05:15:45.170Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-21T05:15:46.752Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-21T05:15:49.199Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-21T05:15:51.657Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-21T05:15:52.422Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-21T05:15:54.513Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-21T05:15:55.283Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-21T05:15:56.863Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-21T05:15:56.863Z] 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.
[2025-08-21T05:15:56.863Z] The best model improves the baseline by 14.52%.
[2025-08-21T05:15:56.863Z] Top recommended movies for user id 72:
[2025-08-21T05:15:56.863Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-21T05:15:56.863Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-21T05:15:56.863Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-21T05:15:56.863Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-21T05:15:56.863Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-21T05:15:56.863Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (14667.600 ms) ======
[2025-08-21T05:15:56.863Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-08-21T05:15:57.624Z] GC before operation: completed in 109.947 ms, heap usage 119.132 MB -> 89.970 MB.
[2025-08-21T05:16:00.078Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-21T05:16:01.656Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-21T05:16:04.120Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-21T05:16:05.696Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-21T05:16:07.269Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-21T05:16:08.850Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-21T05:16:09.611Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-21T05:16:11.198Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-21T05:16:11.198Z] 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.
[2025-08-21T05:16:11.198Z] The best model improves the baseline by 14.52%.
[2025-08-21T05:16:11.198Z] Top recommended movies for user id 72:
[2025-08-21T05:16:11.198Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-21T05:16:11.198Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-21T05:16:11.198Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-21T05:16:11.198Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-21T05:16:11.198Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-21T05:16:11.198Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (14135.813 ms) ======
[2025-08-21T05:16:11.198Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-08-21T05:16:11.198Z] GC before operation: completed in 112.501 ms, heap usage 300.298 MB -> 90.392 MB.
[2025-08-21T05:16:13.649Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-21T05:16:16.096Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-21T05:16:18.555Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-21T05:16:21.007Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-21T05:16:22.586Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-21T05:16:23.356Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-21T05:16:24.933Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-21T05:16:26.613Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-21T05:16:26.613Z] 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.
[2025-08-21T05:16:26.613Z] The best model improves the baseline by 14.52%.
[2025-08-21T05:16:26.613Z] Top recommended movies for user id 72:
[2025-08-21T05:16:26.613Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-21T05:16:26.613Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-21T05:16:26.613Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-21T05:16:26.613Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-21T05:16:26.613Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-21T05:16:26.613Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (15037.381 ms) ======
[2025-08-21T05:16:26.613Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-08-21T05:16:26.613Z] GC before operation: completed in 123.428 ms, heap usage 121.802 MB -> 90.022 MB.
[2025-08-21T05:16:29.062Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-21T05:16:31.512Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-21T05:16:33.091Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-21T05:16:35.545Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-21T05:16:37.117Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-21T05:16:38.385Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-21T05:16:39.957Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-21T05:16:41.540Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-21T05:16:41.540Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-08-21T05:16:41.540Z] The best model improves the baseline by 14.52%.
[2025-08-21T05:16:41.540Z] Top recommended movies for user id 72:
[2025-08-21T05:16:41.540Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-21T05:16:41.540Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-21T05:16:41.540Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-21T05:16:41.540Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-21T05:16:41.540Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-21T05:16:41.541Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (14879.742 ms) ======
[2025-08-21T05:16:41.541Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-08-21T05:16:41.541Z] GC before operation: completed in 107.425 ms, heap usage 369.203 MB -> 90.418 MB.
[2025-08-21T05:16:43.989Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-21T05:16:46.442Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-21T05:16:48.886Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-21T05:16:50.464Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-21T05:16:52.065Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-21T05:16:52.829Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-21T05:16:54.403Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-21T05:16:55.167Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-21T05:16:55.929Z] 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.
[2025-08-21T05:16:55.929Z] The best model improves the baseline by 14.52%.
[2025-08-21T05:16:55.929Z] Top recommended movies for user id 72:
[2025-08-21T05:16:55.929Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-21T05:16:55.929Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-21T05:16:55.929Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-21T05:16:55.929Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-21T05:16:55.929Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-21T05:16:55.929Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (14055.112 ms) ======
[2025-08-21T05:16:55.930Z] -----------------------------------
[2025-08-21T05:16:55.930Z] renaissance-movie-lens_0_PASSED
[2025-08-21T05:16:55.930Z] -----------------------------------
[2025-08-21T05:16:55.930Z]
[2025-08-21T05:16:55.930Z] TEST TEARDOWN:
[2025-08-21T05:16:55.930Z] Nothing to be done for teardown.
[2025-08-21T05:16:55.930Z] renaissance-movie-lens_0 Finish Time: Thu Aug 21 05:16:55 2025 Epoch Time (ms): 1755753415692