renaissance-movie-lens_0
[2025-05-30T01:30:38.134Z] Running test renaissance-movie-lens_0 ...
[2025-05-30T01:30:38.134Z] ===============================================
[2025-05-30T01:30:38.135Z] renaissance-movie-lens_0 Start Time: Fri May 30 01:30:37 2025 Epoch Time (ms): 1748568637838
[2025-05-30T01:30:38.135Z] variation: NoOptions
[2025-05-30T01:30:38.135Z] JVM_OPTIONS:
[2025-05-30T01:30:38.135Z] { \
[2025-05-30T01:30:38.135Z] echo ""; echo "TEST SETUP:"; \
[2025-05-30T01:30:38.135Z] echo "Nothing to be done for setup."; \
[2025-05-30T01:30:38.135Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_1748565355971/renaissance-movie-lens_0"; \
[2025-05-30T01:30:38.135Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_1748565355971/renaissance-movie-lens_0"; \
[2025-05-30T01:30:38.135Z] echo ""; echo "TESTING:"; \
[2025-05-30T01:30:38.135Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/jdkbinary/j2sdk-image/bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_1748565355971/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-05-30T01:30:38.135Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_1748565355971/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-05-30T01:30:38.135Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-05-30T01:30:38.135Z] echo "Nothing to be done for teardown."; \
[2025-05-30T01:30:38.135Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_1748565355971/TestTargetResult";
[2025-05-30T01:30:38.135Z]
[2025-05-30T01:30:38.135Z] TEST SETUP:
[2025-05-30T01:30:38.135Z] Nothing to be done for setup.
[2025-05-30T01:30:38.135Z]
[2025-05-30T01:30:38.135Z] TESTING:
[2025-05-30T01:30:39.708Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2025-05-30T01:30:39.708Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/output_1748565355971/renaissance-movie-lens_0/launcher-013038-8483022004447387781/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2025-05-30T01:30:39.708Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2025-05-30T01:30:39.708Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2025-05-30T01:30:49.663Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2025-05-30T01:31:09.398Z] 01:31:07.491 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2025-05-30T01:31:16.318Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-05-30T01:31:17.925Z] Training: 60056, validation: 20285, test: 19854
[2025-05-30T01:31:17.925Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-05-30T01:31:18.696Z] GC before operation: completed in 324.769 ms, heap usage 189.466 MB -> 75.591 MB.
[2025-05-30T01:31:40.882Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-30T01:31:50.882Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-30T01:32:02.645Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-30T01:32:11.542Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-30T01:32:17.126Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-30T01:32:22.750Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-30T01:32:28.356Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-30T01:32:32.848Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-30T01:32:33.610Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-05-30T01:32:34.386Z] The best model improves the baseline by 14.52%.
[2025-05-30T01:32:35.187Z] Top recommended movies for user id 72:
[2025-05-30T01:32:35.187Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-05-30T01:32:35.187Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-05-30T01:32:35.187Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-05-30T01:32:35.187Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-05-30T01:32:35.187Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-05-30T01:32:35.187Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (76558.526 ms) ======
[2025-05-30T01:32:35.187Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-05-30T01:32:35.958Z] GC before operation: completed in 712.283 ms, heap usage 268.179 MB -> 94.227 MB.
[2025-05-30T01:32:45.875Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-30T01:32:52.783Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-30T01:33:00.284Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-30T01:33:07.171Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-30T01:33:11.786Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-30T01:33:16.246Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-30T01:33:21.867Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-30T01:33:26.368Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-30T01:33:26.368Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-05-30T01:33:27.153Z] The best model improves the baseline by 14.52%.
[2025-05-30T01:33:27.153Z] Top recommended movies for user id 72:
[2025-05-30T01:33:27.153Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-05-30T01:33:27.153Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-05-30T01:33:27.153Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-05-30T01:33:27.153Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-05-30T01:33:27.153Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-05-30T01:33:27.153Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (51436.263 ms) ======
[2025-05-30T01:33:27.153Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-05-30T01:33:27.925Z] GC before operation: completed in 589.951 ms, heap usage 544.267 MB -> 91.838 MB.
[2025-05-30T01:33:36.256Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-30T01:33:43.593Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-30T01:33:51.873Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-30T01:33:58.719Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-30T01:34:03.164Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-30T01:34:08.826Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-30T01:34:13.419Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-30T01:34:19.047Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-30T01:34:19.047Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-05-30T01:34:19.047Z] The best model improves the baseline by 14.52%.
[2025-05-30T01:34:19.819Z] Top recommended movies for user id 72:
[2025-05-30T01:34:19.819Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-05-30T01:34:19.819Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-05-30T01:34:19.819Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-05-30T01:34:19.819Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-05-30T01:34:19.819Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-05-30T01:34:19.819Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (51888.612 ms) ======
[2025-05-30T01:34:19.819Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-05-30T01:34:20.583Z] GC before operation: completed in 737.058 ms, heap usage 374.497 MB -> 89.026 MB.
[2025-05-30T01:34:28.852Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-30T01:34:37.619Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-30T01:34:45.892Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-30T01:34:54.163Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-30T01:34:58.662Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-30T01:35:04.327Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-30T01:35:09.997Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-30T01:35:14.437Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-30T01:35:16.054Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-05-30T01:35:16.054Z] The best model improves the baseline by 14.52%.
[2025-05-30T01:35:16.823Z] Top recommended movies for user id 72:
[2025-05-30T01:35:16.823Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-05-30T01:35:16.823Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-05-30T01:35:16.823Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-05-30T01:35:16.823Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-05-30T01:35:16.823Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-05-30T01:35:16.823Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (56410.285 ms) ======
[2025-05-30T01:35:16.823Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-05-30T01:35:17.587Z] GC before operation: completed in 525.261 ms, heap usage 368.393 MB -> 89.346 MB.
[2025-05-30T01:35:24.989Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-30T01:35:33.291Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-30T01:35:41.541Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-30T01:35:49.871Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-30T01:35:54.376Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-30T01:35:58.880Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-30T01:36:04.501Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-30T01:36:09.060Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-30T01:36:09.060Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-05-30T01:36:09.060Z] The best model improves the baseline by 14.52%.
[2025-05-30T01:36:09.976Z] Top recommended movies for user id 72:
[2025-05-30T01:36:09.976Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-05-30T01:36:09.976Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-05-30T01:36:09.976Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-05-30T01:36:09.976Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-05-30T01:36:09.976Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-05-30T01:36:09.976Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (52458.140 ms) ======
[2025-05-30T01:36:09.976Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-05-30T01:36:09.976Z] GC before operation: completed in 508.672 ms, heap usage 367.941 MB -> 89.310 MB.
[2025-05-30T01:36:18.567Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-30T01:36:25.426Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-30T01:36:32.269Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-30T01:36:40.538Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-30T01:36:43.978Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-30T01:36:48.467Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-30T01:36:54.060Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-30T01:36:58.515Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-30T01:36:58.515Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-05-30T01:36:58.515Z] The best model improves the baseline by 14.52%.
[2025-05-30T01:36:59.291Z] Top recommended movies for user id 72:
[2025-05-30T01:36:59.291Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-05-30T01:36:59.291Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-05-30T01:36:59.291Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-05-30T01:36:59.291Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-05-30T01:36:59.291Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-05-30T01:36:59.291Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (48941.258 ms) ======
[2025-05-30T01:36:59.291Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-05-30T01:36:59.291Z] GC before operation: completed in 422.354 ms, heap usage 377.361 MB -> 89.666 MB.
[2025-05-30T01:37:06.191Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-30T01:37:13.569Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-30T01:37:19.136Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-30T01:37:24.692Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-30T01:37:29.128Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-30T01:37:32.528Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-30T01:37:36.962Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-30T01:37:40.360Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-30T01:37:41.122Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-05-30T01:37:41.122Z] The best model improves the baseline by 14.52%.
[2025-05-30T01:37:41.123Z] Top recommended movies for user id 72:
[2025-05-30T01:37:41.123Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-05-30T01:37:41.123Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-05-30T01:37:41.123Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-05-30T01:37:41.123Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-05-30T01:37:41.123Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-05-30T01:37:41.123Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (41527.156 ms) ======
[2025-05-30T01:37:41.123Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-05-30T01:37:41.891Z] GC before operation: completed in 585.355 ms, heap usage 488.846 MB -> 89.809 MB.
[2025-05-30T01:37:50.145Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-30T01:37:56.236Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-30T01:38:03.124Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-30T01:38:08.804Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-30T01:38:12.271Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-30T01:38:15.670Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-30T01:38:19.104Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-30T01:38:23.572Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-30T01:38:23.572Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-05-30T01:38:23.572Z] The best model improves the baseline by 14.52%.
[2025-05-30T01:38:24.339Z] Top recommended movies for user id 72:
[2025-05-30T01:38:24.339Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-05-30T01:38:24.339Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-05-30T01:38:24.339Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-05-30T01:38:24.339Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-05-30T01:38:24.339Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-05-30T01:38:24.339Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (42289.321 ms) ======
[2025-05-30T01:38:24.339Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-05-30T01:38:24.339Z] GC before operation: completed in 433.002 ms, heap usage 486.670 MB -> 89.997 MB.
[2025-05-30T01:38:31.284Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-30T01:38:36.896Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-30T01:38:44.267Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-30T01:38:49.855Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-30T01:38:54.328Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-30T01:38:58.811Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-30T01:39:02.234Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-30T01:39:06.773Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-30T01:39:06.774Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-05-30T01:39:06.774Z] The best model improves the baseline by 14.52%.
[2025-05-30T01:39:07.543Z] Top recommended movies for user id 72:
[2025-05-30T01:39:07.543Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-05-30T01:39:07.543Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-05-30T01:39:07.543Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-05-30T01:39:07.543Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-05-30T01:39:07.543Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-05-30T01:39:07.543Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (43008.202 ms) ======
[2025-05-30T01:39:07.543Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-05-30T01:39:08.303Z] GC before operation: completed in 523.989 ms, heap usage 226.179 MB -> 89.484 MB.
[2025-05-30T01:39:15.308Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-30T01:39:20.959Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-30T01:39:28.542Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-30T01:39:34.118Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-30T01:39:37.574Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-30T01:39:40.984Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-30T01:39:45.479Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-30T01:39:48.999Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-30T01:39:49.764Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-05-30T01:39:49.764Z] The best model improves the baseline by 14.52%.
[2025-05-30T01:39:49.764Z] Top recommended movies for user id 72:
[2025-05-30T01:39:49.764Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-05-30T01:39:49.764Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-05-30T01:39:49.764Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-05-30T01:39:49.764Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-05-30T01:39:49.764Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-05-30T01:39:49.764Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (41987.110 ms) ======
[2025-05-30T01:39:49.764Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-05-30T01:39:50.531Z] GC before operation: completed in 486.090 ms, heap usage 370.200 MB -> 90.013 MB.
[2025-05-30T01:39:57.467Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-30T01:40:04.326Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-30T01:40:11.295Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-30T01:40:17.681Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-30T01:40:21.151Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-30T01:40:25.619Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-30T01:40:30.098Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-30T01:40:34.578Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-30T01:40:35.358Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-05-30T01:40:35.358Z] The best model improves the baseline by 14.52%.
[2025-05-30T01:40:35.358Z] Top recommended movies for user id 72:
[2025-05-30T01:40:35.358Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-05-30T01:40:35.358Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-05-30T01:40:35.358Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-05-30T01:40:35.358Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-05-30T01:40:35.358Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-05-30T01:40:35.358Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (44998.680 ms) ======
[2025-05-30T01:40:35.358Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-05-30T01:40:36.127Z] GC before operation: completed in 478.792 ms, heap usage 493.740 MB -> 89.812 MB.
[2025-05-30T01:40:42.995Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-30T01:40:48.631Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-30T01:40:54.299Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-30T01:41:01.178Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-30T01:41:04.612Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-30T01:41:08.451Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-30T01:41:12.961Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-30T01:41:17.398Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-30T01:41:18.161Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-05-30T01:41:18.161Z] The best model improves the baseline by 14.52%.
[2025-05-30T01:41:18.947Z] Top recommended movies for user id 72:
[2025-05-30T01:41:18.947Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-05-30T01:41:18.947Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-05-30T01:41:18.947Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-05-30T01:41:18.947Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-05-30T01:41:18.947Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-05-30T01:41:18.947Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (42606.470 ms) ======
[2025-05-30T01:41:18.947Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-05-30T01:41:18.947Z] GC before operation: completed in 623.029 ms, heap usage 165.857 MB -> 92.864 MB.
[2025-05-30T01:41:27.208Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-30T01:41:34.062Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-30T01:41:40.923Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-30T01:41:46.495Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-30T01:41:52.118Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-30T01:41:56.055Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-30T01:42:00.482Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-30T01:42:04.941Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-30T01:42:05.708Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-05-30T01:42:05.708Z] The best model improves the baseline by 14.52%.
[2025-05-30T01:42:06.481Z] Top recommended movies for user id 72:
[2025-05-30T01:42:06.481Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-05-30T01:42:06.481Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-05-30T01:42:06.481Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-05-30T01:42:06.481Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-05-30T01:42:06.481Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-05-30T01:42:06.481Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (47161.182 ms) ======
[2025-05-30T01:42:06.481Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-05-30T01:42:06.481Z] GC before operation: completed in 458.139 ms, heap usage 128.038 MB -> 89.653 MB.
[2025-05-30T01:42:14.866Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-30T01:42:21.772Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-30T01:42:30.130Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-30T01:42:37.013Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-30T01:42:40.454Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-30T01:42:44.429Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-30T01:42:47.066Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-30T01:42:51.611Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-30T01:42:51.611Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-05-30T01:42:51.611Z] The best model improves the baseline by 14.52%.
[2025-05-30T01:42:52.392Z] Top recommended movies for user id 72:
[2025-05-30T01:42:52.392Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-05-30T01:42:52.392Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-05-30T01:42:52.392Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-05-30T01:42:52.392Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-05-30T01:42:52.392Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-05-30T01:42:52.392Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (45516.369 ms) ======
[2025-05-30T01:42:52.392Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-05-30T01:42:53.154Z] GC before operation: completed in 556.246 ms, heap usage 199.997 MB -> 89.658 MB.
[2025-05-30T01:43:00.012Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-30T01:43:08.354Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-30T01:43:15.245Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-30T01:43:22.072Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-30T01:43:25.489Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-30T01:43:29.925Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-30T01:43:34.879Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-30T01:43:38.306Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-30T01:43:39.080Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-05-30T01:43:39.080Z] The best model improves the baseline by 14.52%.
[2025-05-30T01:43:39.859Z] Top recommended movies for user id 72:
[2025-05-30T01:43:39.859Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-05-30T01:43:39.859Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-05-30T01:43:39.859Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-05-30T01:43:39.859Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-05-30T01:43:39.859Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-05-30T01:43:39.859Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (46716.511 ms) ======
[2025-05-30T01:43:39.859Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-05-30T01:43:39.859Z] GC before operation: completed in 374.993 ms, heap usage 488.664 MB -> 90.236 MB.
[2025-05-30T01:43:48.135Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-30T01:43:55.034Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-30T01:44:02.219Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-30T01:44:09.103Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-30T01:44:12.701Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-30T01:44:16.215Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-30T01:44:20.703Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-30T01:44:24.760Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-30T01:44:24.760Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-05-30T01:44:25.531Z] The best model improves the baseline by 14.52%.
[2025-05-30T01:44:25.531Z] Top recommended movies for user id 72:
[2025-05-30T01:44:25.532Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-05-30T01:44:25.532Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-05-30T01:44:25.532Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-05-30T01:44:25.532Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-05-30T01:44:25.532Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-05-30T01:44:25.532Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (45573.568 ms) ======
[2025-05-30T01:44:25.532Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-05-30T01:44:26.294Z] GC before operation: completed in 466.650 ms, heap usage 282.923 MB -> 89.741 MB.
[2025-05-30T01:44:33.256Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-30T01:44:40.127Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-30T01:44:47.021Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-30T01:44:52.586Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-30T01:44:56.287Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-30T01:44:59.715Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-30T01:45:04.211Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-30T01:45:08.639Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-30T01:45:08.639Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-05-30T01:45:09.408Z] The best model improves the baseline by 14.52%.
[2025-05-30T01:45:09.408Z] Top recommended movies for user id 72:
[2025-05-30T01:45:09.408Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-05-30T01:45:09.408Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-05-30T01:45:09.408Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-05-30T01:45:09.408Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-05-30T01:45:09.408Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-05-30T01:45:09.408Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (43289.887 ms) ======
[2025-05-30T01:45:09.408Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-05-30T01:45:09.408Z] GC before operation: completed in 450.537 ms, heap usage 873.755 MB -> 94.248 MB.
[2025-05-30T01:45:17.763Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-30T01:45:24.622Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-30T01:45:31.515Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-30T01:45:37.135Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-30T01:45:41.611Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-30T01:45:45.155Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-30T01:45:49.610Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-30T01:45:53.775Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-30T01:45:54.578Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-05-30T01:45:54.578Z] The best model improves the baseline by 14.52%.
[2025-05-30T01:45:54.578Z] Top recommended movies for user id 72:
[2025-05-30T01:45:54.578Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-05-30T01:45:54.578Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-05-30T01:45:54.578Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-05-30T01:45:54.578Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-05-30T01:45:54.578Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-05-30T01:45:54.578Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (44764.244 ms) ======
[2025-05-30T01:45:54.578Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-05-30T01:45:55.480Z] GC before operation: completed in 447.705 ms, heap usage 442.169 MB -> 89.969 MB.
[2025-05-30T01:46:02.335Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-30T01:46:10.705Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-30T01:46:17.551Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-30T01:46:23.131Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-30T01:46:27.574Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-30T01:46:32.006Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-30T01:46:36.967Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-30T01:46:42.562Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-30T01:46:42.563Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-05-30T01:46:42.563Z] The best model improves the baseline by 14.52%.
[2025-05-30T01:46:42.563Z] Top recommended movies for user id 72:
[2025-05-30T01:46:42.563Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-05-30T01:46:42.563Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-05-30T01:46:42.563Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-05-30T01:46:42.563Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-05-30T01:46:42.563Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-05-30T01:46:42.563Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (47901.014 ms) ======
[2025-05-30T01:46:42.563Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-05-30T01:46:43.341Z] GC before operation: completed in 500.817 ms, heap usage 677.584 MB -> 93.481 MB.
[2025-05-30T01:46:53.179Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-30T01:47:00.011Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-30T01:47:06.840Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-30T01:47:13.933Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-30T01:47:17.374Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-30T01:47:21.589Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-30T01:47:25.007Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-30T01:47:29.519Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-30T01:47:30.310Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-05-30T01:47:30.310Z] The best model improves the baseline by 14.52%.
[2025-05-30T01:47:31.079Z] Top recommended movies for user id 72:
[2025-05-30T01:47:31.079Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-05-30T01:47:31.079Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-05-30T01:47:31.079Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-05-30T01:47:31.079Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-05-30T01:47:31.079Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-05-30T01:47:31.079Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (47558.289 ms) ======
[2025-05-30T01:47:33.535Z] -----------------------------------
[2025-05-30T01:47:33.535Z] renaissance-movie-lens_0_PASSED
[2025-05-30T01:47:33.535Z] -----------------------------------
[2025-05-30T01:47:33.535Z]
[2025-05-30T01:47:33.535Z] TEST TEARDOWN:
[2025-05-30T01:47:33.535Z] Nothing to be done for teardown.
[2025-05-30T01:47:33.535Z] renaissance-movie-lens_0 Finish Time: Fri May 30 01:47:33 2025 Epoch Time (ms): 1748569653131