renaissance-movie-lens_0
[2025-08-28T06:01:35.493Z] Running test renaissance-movie-lens_0 ...
[2025-08-28T06:01:35.493Z] ===============================================
[2025-08-28T06:01:35.493Z] renaissance-movie-lens_0 Start Time: Thu Aug 28 06:01:35 2025 Epoch Time (ms): 1756360895021
[2025-08-28T06:01:35.493Z] variation: NoOptions
[2025-08-28T06:01:35.493Z] JVM_OPTIONS:
[2025-08-28T06:01:35.493Z] { \
[2025-08-28T06:01:35.493Z] echo ""; echo "TEST SETUP:"; \
[2025-08-28T06:01:35.493Z] echo "Nothing to be done for setup."; \
[2025-08-28T06:01:35.493Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux_testList_1/aqa-tests/TKG/../TKG/output_17563593656363/renaissance-movie-lens_0"; \
[2025-08-28T06:01:35.493Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux_testList_1/aqa-tests/TKG/../TKG/output_17563593656363/renaissance-movie-lens_0"; \
[2025-08-28T06:01:35.493Z] echo ""; echo "TESTING:"; \
[2025-08-28T06:01:35.493Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_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_aarch64_linux_testList_1/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux_testList_1/aqa-tests/TKG/../TKG/output_17563593656363/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-08-28T06:01:35.493Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux_testList_1/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux_testList_1/aqa-tests/TKG/../TKG/output_17563593656363/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-08-28T06:01:35.493Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-08-28T06:01:35.493Z] echo "Nothing to be done for teardown."; \
[2025-08-28T06:01:35.493Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux_testList_1/aqa-tests/TKG/../TKG/output_17563593656363/TestTargetResult";
[2025-08-28T06:01:35.493Z]
[2025-08-28T06:01:35.493Z] TEST SETUP:
[2025-08-28T06:01:35.493Z] Nothing to be done for setup.
[2025-08-28T06:01:35.493Z]
[2025-08-28T06:01:35.493Z] TESTING:
[2025-08-28T06:01:46.867Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2025-08-28T06:02:02.457Z] 06:02:02.082 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2025-08-28T06:02:06.557Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-08-28T06:02:06.557Z] Training: 60056, validation: 20285, test: 19854
[2025-08-28T06:02:06.557Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-08-28T06:02:07.505Z] GC before operation: completed in 181.650 ms, heap usage 218.096 MB -> 76.138 MB.
[2025-08-28T06:02:18.949Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-28T06:02:24.268Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-28T06:02:31.711Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-28T06:02:35.890Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-28T06:02:38.950Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-28T06:02:42.001Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-28T06:02:45.044Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-28T06:02:48.066Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-28T06:02:48.066Z] 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.
[2025-08-28T06:02:48.066Z] The best model improves the baseline by 14.52%.
[2025-08-28T06:02:49.008Z] Top recommended movies for user id 72:
[2025-08-28T06:02:49.008Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-28T06:02:49.008Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-28T06:02:49.008Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-28T06:02:49.008Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-28T06:02:49.008Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-28T06:02:49.008Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (41697.368 ms) ======
[2025-08-28T06:02:49.008Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-08-28T06:02:49.008Z] GC before operation: completed in 237.925 ms, heap usage 124.728 MB -> 86.767 MB.
[2025-08-28T06:02:54.359Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-28T06:02:58.464Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-28T06:03:03.766Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-28T06:03:07.882Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-28T06:03:10.899Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-28T06:03:12.841Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-28T06:03:15.815Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-28T06:03:18.803Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-28T06:03:18.803Z] 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.
[2025-08-28T06:03:18.804Z] The best model improves the baseline by 14.52%.
[2025-08-28T06:03:19.739Z] Top recommended movies for user id 72:
[2025-08-28T06:03:19.739Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-28T06:03:19.739Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-28T06:03:19.739Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-28T06:03:19.739Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-28T06:03:19.739Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-28T06:03:19.739Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (30266.788 ms) ======
[2025-08-28T06:03:19.739Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-08-28T06:03:19.739Z] GC before operation: completed in 204.911 ms, heap usage 413.647 MB -> 89.191 MB.
[2025-08-28T06:03:23.848Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-28T06:03:27.946Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-28T06:03:32.072Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-28T06:03:36.181Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-28T06:03:38.121Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-28T06:03:41.094Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-28T06:03:43.030Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-28T06:03:46.770Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-28T06:03:46.770Z] 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.
[2025-08-28T06:03:46.770Z] The best model improves the baseline by 14.52%.
[2025-08-28T06:03:46.770Z] Top recommended movies for user id 72:
[2025-08-28T06:03:46.770Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-28T06:03:46.770Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-28T06:03:46.770Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-28T06:03:46.770Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-28T06:03:46.770Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-28T06:03:46.770Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (26815.500 ms) ======
[2025-08-28T06:03:46.770Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-08-28T06:03:46.770Z] GC before operation: completed in 237.001 ms, heap usage 274.325 MB -> 89.678 MB.
[2025-08-28T06:03:50.865Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-28T06:03:53.853Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-28T06:03:57.954Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-28T06:04:00.928Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-28T06:04:03.913Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-28T06:04:05.846Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-28T06:04:08.830Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-28T06:04:10.764Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-28T06:04:10.765Z] 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.
[2025-08-28T06:04:10.765Z] The best model improves the baseline by 14.52%.
[2025-08-28T06:04:11.703Z] Top recommended movies for user id 72:
[2025-08-28T06:04:11.703Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-28T06:04:11.703Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-28T06:04:11.703Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-28T06:04:11.703Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-28T06:04:11.703Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-28T06:04:11.703Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (24822.394 ms) ======
[2025-08-28T06:04:11.703Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-08-28T06:04:11.703Z] GC before operation: completed in 216.486 ms, heap usage 291.074 MB -> 90.001 MB.
[2025-08-28T06:04:15.804Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-28T06:04:18.824Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-28T06:04:22.924Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-28T06:04:27.040Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-28T06:04:28.968Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-28T06:04:31.946Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-28T06:04:33.877Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-28T06:04:36.860Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-28T06:04:36.860Z] 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.
[2025-08-28T06:04:36.860Z] The best model improves the baseline by 14.52%.
[2025-08-28T06:04:36.860Z] Top recommended movies for user id 72:
[2025-08-28T06:04:36.860Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-28T06:04:36.860Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-28T06:04:36.860Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-28T06:04:36.860Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-28T06:04:36.860Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-28T06:04:36.860Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (25380.481 ms) ======
[2025-08-28T06:04:36.860Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-08-28T06:04:36.860Z] GC before operation: completed in 244.657 ms, heap usage 449.753 MB -> 90.136 MB.
[2025-08-28T06:04:40.962Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-28T06:04:45.058Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-28T06:04:48.045Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-28T06:04:52.147Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-28T06:04:54.080Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-28T06:04:56.073Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-28T06:04:58.005Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-28T06:04:59.954Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-28T06:04:59.954Z] 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.
[2025-08-28T06:04:59.954Z] The best model improves the baseline by 14.52%.
[2025-08-28T06:05:01.343Z] Top recommended movies for user id 72:
[2025-08-28T06:05:01.343Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-28T06:05:01.343Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-28T06:05:01.343Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-28T06:05:01.343Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-28T06:05:01.343Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-28T06:05:01.343Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (23265.458 ms) ======
[2025-08-28T06:05:01.343Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-08-28T06:05:01.343Z] GC before operation: completed in 242.613 ms, heap usage 667.830 MB -> 95.209 MB.
[2025-08-28T06:05:04.405Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-28T06:05:07.411Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-28T06:05:11.507Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-28T06:05:15.604Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-28T06:05:17.538Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-28T06:05:19.467Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-28T06:05:21.401Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-28T06:05:23.322Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-28T06:05:24.262Z] 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.
[2025-08-28T06:05:24.263Z] The best model improves the baseline by 14.52%.
[2025-08-28T06:05:24.263Z] Top recommended movies for user id 72:
[2025-08-28T06:05:24.263Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-28T06:05:24.263Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-28T06:05:24.263Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-28T06:05:24.263Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-28T06:05:24.263Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-28T06:05:24.263Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (23497.531 ms) ======
[2025-08-28T06:05:24.263Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-08-28T06:05:24.263Z] GC before operation: completed in 240.632 ms, heap usage 366.073 MB -> 90.344 MB.
[2025-08-28T06:05:28.368Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-28T06:05:31.354Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-28T06:05:35.464Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-28T06:05:38.451Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-28T06:05:41.463Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-28T06:05:43.401Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-28T06:05:45.329Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-28T06:05:48.307Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-28T06:05:48.307Z] 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.
[2025-08-28T06:05:48.307Z] The best model improves the baseline by 14.52%.
[2025-08-28T06:05:48.307Z] Top recommended movies for user id 72:
[2025-08-28T06:05:48.307Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-28T06:05:48.307Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-28T06:05:48.307Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-28T06:05:48.307Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-28T06:05:48.307Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-28T06:05:48.307Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (23888.494 ms) ======
[2025-08-28T06:05:48.307Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-08-28T06:05:48.307Z] GC before operation: completed in 217.534 ms, heap usage 338.009 MB -> 90.521 MB.
[2025-08-28T06:05:52.407Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-28T06:05:56.509Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-28T06:05:59.485Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-28T06:06:02.457Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-28T06:06:04.383Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-28T06:06:06.311Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-28T06:06:09.461Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-28T06:06:10.404Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-28T06:06:11.342Z] 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.
[2025-08-28T06:06:11.342Z] The best model improves the baseline by 14.52%.
[2025-08-28T06:06:11.342Z] Top recommended movies for user id 72:
[2025-08-28T06:06:11.342Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-28T06:06:11.342Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-28T06:06:11.342Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-28T06:06:11.342Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-28T06:06:11.342Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-28T06:06:11.342Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (22585.660 ms) ======
[2025-08-28T06:06:11.342Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-08-28T06:06:11.342Z] GC before operation: completed in 287.412 ms, heap usage 121.840 MB -> 92.793 MB.
[2025-08-28T06:06:15.740Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-28T06:06:17.668Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-28T06:06:21.759Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-28T06:06:24.740Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-28T06:06:26.692Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-28T06:06:28.625Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-28T06:06:30.551Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-28T06:06:32.492Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-28T06:06:32.492Z] 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.
[2025-08-28T06:06:32.492Z] The best model improves the baseline by 14.52%.
[2025-08-28T06:06:33.444Z] Top recommended movies for user id 72:
[2025-08-28T06:06:33.444Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-28T06:06:33.444Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-28T06:06:33.444Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-28T06:06:33.444Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-28T06:06:33.444Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-28T06:06:33.444Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (21614.289 ms) ======
[2025-08-28T06:06:33.444Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-08-28T06:06:33.444Z] GC before operation: completed in 213.321 ms, heap usage 366.074 MB -> 90.636 MB.
[2025-08-28T06:06:36.429Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-28T06:06:40.517Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-28T06:06:43.499Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-28T06:06:46.475Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-28T06:06:48.408Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-28T06:06:50.338Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-28T06:06:52.257Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-28T06:06:54.188Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-28T06:06:55.127Z] 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.
[2025-08-28T06:06:55.127Z] The best model improves the baseline by 14.52%.
[2025-08-28T06:06:55.127Z] Top recommended movies for user id 72:
[2025-08-28T06:06:55.127Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-28T06:06:55.127Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-28T06:06:55.127Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-28T06:06:55.127Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-28T06:06:55.127Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-28T06:06:55.127Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (21793.061 ms) ======
[2025-08-28T06:06:55.127Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-08-28T06:06:55.127Z] GC before operation: completed in 235.525 ms, heap usage 278.512 MB -> 90.223 MB.
[2025-08-28T06:06:59.227Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-28T06:07:02.257Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-28T06:07:05.235Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-28T06:07:08.211Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-28T06:07:10.144Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-28T06:07:12.073Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-28T06:07:14.005Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-28T06:07:15.937Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-28T06:07:15.937Z] 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.
[2025-08-28T06:07:15.937Z] The best model improves the baseline by 14.52%.
[2025-08-28T06:07:16.872Z] Top recommended movies for user id 72:
[2025-08-28T06:07:16.872Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-28T06:07:16.872Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-28T06:07:16.872Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-28T06:07:16.872Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-28T06:07:16.872Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-28T06:07:16.872Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (21133.242 ms) ======
[2025-08-28T06:07:16.873Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-08-28T06:07:16.873Z] GC before operation: completed in 288.794 ms, heap usage 597.536 MB -> 94.163 MB.
[2025-08-28T06:07:20.972Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-28T06:07:23.940Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-28T06:07:28.043Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-28T06:07:30.685Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-28T06:07:32.605Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-28T06:07:35.575Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-28T06:07:37.540Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-28T06:07:39.472Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-28T06:07:39.473Z] 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.
[2025-08-28T06:07:39.473Z] The best model improves the baseline by 14.52%.
[2025-08-28T06:07:40.411Z] Top recommended movies for user id 72:
[2025-08-28T06:07:40.411Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-28T06:07:40.411Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-28T06:07:40.411Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-28T06:07:40.411Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-28T06:07:40.411Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-28T06:07:40.411Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (23237.666 ms) ======
[2025-08-28T06:07:40.411Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-08-28T06:07:40.411Z] GC before operation: completed in 219.049 ms, heap usage 214.795 MB -> 90.488 MB.
[2025-08-28T06:07:44.514Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-28T06:07:47.502Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-28T06:07:51.603Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-28T06:07:54.589Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-28T06:07:56.513Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-28T06:07:58.439Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-28T06:08:00.364Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-28T06:08:02.291Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-28T06:08:02.291Z] 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.
[2025-08-28T06:08:02.291Z] The best model improves the baseline by 14.52%.
[2025-08-28T06:08:02.291Z] Top recommended movies for user id 72:
[2025-08-28T06:08:02.291Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-28T06:08:02.291Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-28T06:08:02.291Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-28T06:08:02.291Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-28T06:08:02.291Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-28T06:08:02.291Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (22498.993 ms) ======
[2025-08-28T06:08:02.291Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-08-28T06:08:03.229Z] GC before operation: completed in 216.526 ms, heap usage 115.364 MB -> 92.877 MB.
[2025-08-28T06:08:06.209Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-28T06:08:10.298Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-28T06:08:13.270Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-28T06:08:16.245Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-28T06:08:18.171Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-28T06:08:20.094Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-28T06:08:22.020Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-28T06:08:23.955Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-28T06:08:23.955Z] 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.
[2025-08-28T06:08:23.955Z] The best model improves the baseline by 14.52%.
[2025-08-28T06:08:23.955Z] Top recommended movies for user id 72:
[2025-08-28T06:08:23.955Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-28T06:08:23.955Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-28T06:08:23.955Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-28T06:08:23.955Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-28T06:08:23.955Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-28T06:08:23.955Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (21087.832 ms) ======
[2025-08-28T06:08:23.955Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-08-28T06:08:23.955Z] GC before operation: completed in 252.816 ms, heap usage 269.737 MB -> 90.624 MB.
[2025-08-28T06:08:28.067Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-28T06:08:31.046Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-28T06:08:34.024Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-28T06:08:37.003Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-28T06:08:38.931Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-28T06:08:40.861Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-28T06:08:43.260Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-28T06:08:45.200Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-28T06:08:45.200Z] 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.
[2025-08-28T06:08:45.200Z] The best model improves the baseline by 14.52%.
[2025-08-28T06:08:45.200Z] Top recommended movies for user id 72:
[2025-08-28T06:08:45.200Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-28T06:08:45.200Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-28T06:08:45.200Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-28T06:08:45.200Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-28T06:08:45.200Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-28T06:08:45.200Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (21168.141 ms) ======
[2025-08-28T06:08:45.200Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-08-28T06:08:46.136Z] GC before operation: completed in 229.250 ms, heap usage 120.272 MB -> 90.281 MB.
[2025-08-28T06:08:49.119Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-28T06:08:52.133Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-28T06:08:55.111Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-28T06:08:58.087Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-28T06:09:01.135Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-28T06:09:02.074Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-28T06:09:04.002Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-28T06:09:05.936Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-28T06:09:06.871Z] 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.
[2025-08-28T06:09:06.871Z] The best model improves the baseline by 14.52%.
[2025-08-28T06:09:06.871Z] Top recommended movies for user id 72:
[2025-08-28T06:09:06.871Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-28T06:09:06.871Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-28T06:09:06.871Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-28T06:09:06.871Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-28T06:09:06.871Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-28T06:09:06.871Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (21030.675 ms) ======
[2025-08-28T06:09:06.871Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-08-28T06:09:06.871Z] GC before operation: completed in 277.947 ms, heap usage 246.050 MB -> 90.504 MB.
[2025-08-28T06:09:09.850Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-28T06:09:13.931Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-28T06:09:16.903Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-28T06:09:19.894Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-28T06:09:22.878Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-28T06:09:24.805Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-28T06:09:26.733Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-28T06:09:29.713Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-28T06:09:29.713Z] 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.
[2025-08-28T06:09:29.713Z] The best model improves the baseline by 14.52%.
[2025-08-28T06:09:29.713Z] Top recommended movies for user id 72:
[2025-08-28T06:09:29.713Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-28T06:09:29.713Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-28T06:09:29.713Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-28T06:09:29.713Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-28T06:09:29.713Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-28T06:09:29.713Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (22875.688 ms) ======
[2025-08-28T06:09:29.713Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-08-28T06:09:29.713Z] GC before operation: completed in 246.903 ms, heap usage 359.938 MB -> 90.540 MB.
[2025-08-28T06:09:33.805Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-28T06:09:36.785Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-28T06:09:40.873Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-28T06:09:43.839Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-28T06:09:45.765Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-28T06:09:47.694Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-28T06:09:49.638Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-28T06:09:51.570Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-28T06:09:51.570Z] 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.
[2025-08-28T06:09:51.570Z] The best model improves the baseline by 14.52%.
[2025-08-28T06:09:51.570Z] Top recommended movies for user id 72:
[2025-08-28T06:09:51.570Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-28T06:09:51.570Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-28T06:09:51.570Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-28T06:09:51.570Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-28T06:09:51.570Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-28T06:09:51.570Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (21762.848 ms) ======
[2025-08-28T06:09:51.570Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-08-28T06:09:52.505Z] GC before operation: completed in 307.855 ms, heap usage 512.246 MB -> 90.893 MB.
[2025-08-28T06:09:56.174Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-28T06:09:59.162Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-28T06:10:02.158Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-28T06:10:05.133Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-28T06:10:07.062Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-28T06:10:09.048Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-28T06:10:10.991Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-28T06:10:12.918Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-28T06:10:12.918Z] 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.
[2025-08-28T06:10:12.918Z] The best model improves the baseline by 14.52%.
[2025-08-28T06:10:13.853Z] Top recommended movies for user id 72:
[2025-08-28T06:10:13.853Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-28T06:10:13.853Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-28T06:10:13.853Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-28T06:10:13.853Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-28T06:10:13.853Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-28T06:10:13.853Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (21305.350 ms) ======
[2025-08-28T06:10:14.788Z] -----------------------------------
[2025-08-28T06:10:14.788Z] renaissance-movie-lens_0_PASSED
[2025-08-28T06:10:14.788Z] -----------------------------------
[2025-08-28T06:10:14.788Z]
[2025-08-28T06:10:14.788Z] TEST TEARDOWN:
[2025-08-28T06:10:14.788Z] Nothing to be done for teardown.
[2025-08-28T06:10:14.788Z] renaissance-movie-lens_0 Finish Time: Thu Aug 28 06:10:14 2025 Epoch Time (ms): 1756361414354