renaissance-movie-lens_0
[2025-06-13T02:01:53.548Z] Running test renaissance-movie-lens_0 ...
[2025-06-13T02:01:53.548Z] ===============================================
[2025-06-13T02:01:53.548Z] renaissance-movie-lens_0 Start Time: Fri Jun 13 02:01:49 2025 Epoch Time (ms): 1749780109109
[2025-06-13T02:01:53.548Z] variation: NoOptions
[2025-06-13T02:01:53.548Z] JVM_OPTIONS:
[2025-06-13T02:01:53.548Z] { \
[2025-06-13T02:01:53.548Z] echo ""; echo "TEST SETUP:"; \
[2025-06-13T02:01:53.548Z] echo "Nothing to be done for setup."; \
[2025-06-13T02:01:53.548Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux/aqa-tests/TKG/../TKG/output_17497755476164/renaissance-movie-lens_0"; \
[2025-06-13T02:01:53.548Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux/aqa-tests/TKG/../TKG/output_17497755476164/renaissance-movie-lens_0"; \
[2025-06-13T02:01:53.548Z] echo ""; echo "TESTING:"; \
[2025-06-13T02:01:53.548Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_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_riscv64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux/aqa-tests/TKG/../TKG/output_17497755476164/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-06-13T02:01:53.548Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux/aqa-tests/TKG/../TKG/output_17497755476164/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-06-13T02:01:53.548Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-06-13T02:01:53.548Z] echo "Nothing to be done for teardown."; \
[2025-06-13T02:01:53.548Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux/aqa-tests/TKG/../TKG/output_17497755476164/TestTargetResult";
[2025-06-13T02:01:53.548Z]
[2025-06-13T02:01:53.548Z] TEST SETUP:
[2025-06-13T02:01:53.548Z] Nothing to be done for setup.
[2025-06-13T02:01:53.548Z]
[2025-06-13T02:01:53.548Z] TESTING:
[2025-06-13T02:01:53.548Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2025-06-13T02:01:53.548Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux/aqa-tests/TKG/output_17497755476164/renaissance-movie-lens_0/launcher-020149-8560292936536535050/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2025-06-13T02:01:53.548Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2025-06-13T02:01:53.548Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2025-06-13T02:02:13.635Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2025-06-13T02:02:46.935Z] 02:02:42.482 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.
[2025-06-13T02:02:52.929Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-06-13T02:02:54.581Z] Training: 60056, validation: 20285, test: 19854
[2025-06-13T02:02:54.581Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-06-13T02:02:55.288Z] GC before operation: completed in 645.522 ms, heap usage 326.450 MB -> 76.036 MB.
[2025-06-13T02:03:23.335Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-13T02:03:34.140Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-13T02:03:47.217Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-13T02:03:57.996Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-13T02:04:03.862Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-13T02:04:11.117Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-13T02:04:16.988Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-13T02:04:22.901Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-13T02:04:24.052Z] 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.
[2025-06-13T02:04:24.378Z] The best model improves the baseline by 14.52%.
[2025-06-13T02:04:25.090Z] Top recommended movies for user id 72:
[2025-06-13T02:04:25.090Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-13T02:04:25.090Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-13T02:04:25.090Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-13T02:04:25.090Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-13T02:04:25.090Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-13T02:04:25.090Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (90072.011 ms) ======
[2025-06-13T02:04:25.090Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-06-13T02:04:26.269Z] GC before operation: completed in 1042.717 ms, heap usage 508.421 MB -> 88.644 MB.
[2025-06-13T02:04:37.040Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-13T02:04:47.836Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-13T02:04:56.898Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-13T02:05:05.758Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-13T02:05:11.634Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-13T02:05:17.516Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-13T02:05:24.789Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-13T02:05:29.569Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-13T02:05:30.736Z] 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.
[2025-06-13T02:05:31.061Z] The best model improves the baseline by 14.52%.
[2025-06-13T02:05:31.911Z] Top recommended movies for user id 72:
[2025-06-13T02:05:31.911Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-13T02:05:31.911Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-13T02:05:31.911Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-13T02:05:31.911Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-13T02:05:31.911Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-13T02:05:31.911Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (65365.509 ms) ======
[2025-06-13T02:05:31.911Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-06-13T02:05:32.630Z] GC before operation: completed in 912.637 ms, heap usage 131.204 MB -> 88.354 MB.
[2025-06-13T02:05:43.456Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-13T02:05:52.304Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-13T02:06:01.179Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-13T02:06:10.042Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-13T02:06:16.084Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-13T02:06:20.901Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-13T02:06:26.792Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-13T02:06:32.670Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-13T02:06:32.996Z] 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.
[2025-06-13T02:06:32.996Z] The best model improves the baseline by 14.52%.
[2025-06-13T02:06:33.696Z] Top recommended movies for user id 72:
[2025-06-13T02:06:33.696Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-13T02:06:33.696Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-13T02:06:33.696Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-13T02:06:33.696Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-13T02:06:33.696Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-13T02:06:33.696Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (61158.509 ms) ======
[2025-06-13T02:06:33.696Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-06-13T02:06:34.420Z] GC before operation: completed in 771.195 ms, heap usage 437.329 MB -> 89.539 MB.
[2025-06-13T02:06:43.273Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-13T02:06:52.161Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-13T02:07:01.080Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-13T02:07:09.942Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-13T02:07:15.834Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-13T02:07:20.588Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-13T02:07:26.476Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-13T02:07:32.452Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-13T02:07:32.779Z] 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.
[2025-06-13T02:07:32.779Z] The best model improves the baseline by 14.52%.
[2025-06-13T02:07:33.920Z] Top recommended movies for user id 72:
[2025-06-13T02:07:33.920Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-13T02:07:33.920Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-13T02:07:33.920Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-13T02:07:33.920Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-13T02:07:33.920Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-13T02:07:33.920Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (59180.295 ms) ======
[2025-06-13T02:07:33.920Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-06-13T02:07:34.625Z] GC before operation: completed in 791.000 ms, heap usage 372.405 MB -> 89.647 MB.
[2025-06-13T02:07:43.486Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-13T02:07:52.344Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-13T02:08:01.192Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-13T02:08:10.058Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-13T02:08:17.373Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-13T02:08:22.109Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-13T02:08:27.977Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-13T02:08:32.690Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-13T02:08:33.834Z] 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.
[2025-06-13T02:08:33.834Z] The best model improves the baseline by 14.52%.
[2025-06-13T02:08:34.531Z] Top recommended movies for user id 72:
[2025-06-13T02:08:34.531Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-13T02:08:34.531Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-13T02:08:34.531Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-13T02:08:34.531Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-13T02:08:34.531Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-13T02:08:34.531Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (60120.068 ms) ======
[2025-06-13T02:08:34.531Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-06-13T02:08:35.250Z] GC before operation: completed in 784.806 ms, heap usage 213.422 MB -> 89.527 MB.
[2025-06-13T02:08:46.068Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-13T02:08:53.344Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-13T02:09:02.190Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-13T02:09:09.421Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-13T02:09:15.294Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-13T02:09:20.025Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-13T02:09:25.908Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-13T02:09:30.766Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-13T02:09:31.464Z] 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.
[2025-06-13T02:09:31.464Z] The best model improves the baseline by 14.52%.
[2025-06-13T02:09:32.184Z] Top recommended movies for user id 72:
[2025-06-13T02:09:32.184Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-13T02:09:32.184Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-13T02:09:32.184Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-13T02:09:32.184Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-13T02:09:32.184Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-13T02:09:32.184Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (56761.760 ms) ======
[2025-06-13T02:09:32.184Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-06-13T02:09:32.909Z] GC before operation: completed in 809.210 ms, heap usage 387.444 MB -> 89.956 MB.
[2025-06-13T02:09:41.784Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-13T02:09:50.621Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-13T02:09:59.469Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-13T02:10:06.694Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-13T02:10:10.552Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-13T02:10:15.295Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-13T02:10:20.061Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-13T02:10:24.833Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-13T02:10:25.534Z] 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.
[2025-06-13T02:10:25.534Z] The best model improves the baseline by 14.52%.
[2025-06-13T02:10:26.251Z] Top recommended movies for user id 72:
[2025-06-13T02:10:26.251Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-13T02:10:26.251Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-13T02:10:26.251Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-13T02:10:26.251Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-13T02:10:26.251Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-13T02:10:26.251Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (53086.540 ms) ======
[2025-06-13T02:10:26.251Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-06-13T02:10:26.967Z] GC before operation: completed in 829.401 ms, heap usage 568.174 MB -> 93.430 MB.
[2025-06-13T02:10:35.854Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-13T02:10:43.141Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-13T02:10:52.096Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-13T02:10:59.354Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-13T02:11:04.077Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-13T02:11:08.809Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-13T02:11:14.690Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-13T02:11:19.417Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-13T02:11:20.615Z] 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.
[2025-06-13T02:11:20.615Z] The best model improves the baseline by 14.52%.
[2025-06-13T02:11:21.378Z] Top recommended movies for user id 72:
[2025-06-13T02:11:21.378Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-13T02:11:21.378Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-13T02:11:21.378Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-13T02:11:21.378Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-13T02:11:21.378Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-13T02:11:21.378Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (54316.505 ms) ======
[2025-06-13T02:11:21.378Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-06-13T02:11:22.102Z] GC before operation: completed in 842.492 ms, heap usage 396.587 MB -> 90.138 MB.
[2025-06-13T02:11:30.956Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-13T02:11:38.192Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-13T02:11:47.066Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-13T02:11:54.305Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-13T02:12:00.182Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-13T02:12:05.053Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-13T02:12:09.831Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-13T02:12:14.602Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-13T02:12:15.304Z] 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.
[2025-06-13T02:12:15.304Z] The best model improves the baseline by 14.52%.
[2025-06-13T02:12:16.005Z] Top recommended movies for user id 72:
[2025-06-13T02:12:16.005Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-13T02:12:16.005Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-13T02:12:16.005Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-13T02:12:16.005Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-13T02:12:16.005Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-13T02:12:16.005Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (54060.913 ms) ======
[2025-06-13T02:12:16.005Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-06-13T02:12:17.168Z] GC before operation: completed in 830.737 ms, heap usage 298.511 MB -> 89.997 MB.
[2025-06-13T02:12:26.033Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-13T02:12:33.302Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-13T02:12:42.294Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-13T02:12:49.552Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-13T02:12:54.281Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-13T02:13:00.159Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-13T02:13:04.886Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-13T02:13:10.761Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-13T02:13:11.088Z] 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.
[2025-06-13T02:13:11.088Z] The best model improves the baseline by 14.52%.
[2025-06-13T02:13:11.788Z] Top recommended movies for user id 72:
[2025-06-13T02:13:11.788Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-13T02:13:11.788Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-13T02:13:11.788Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-13T02:13:11.788Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-13T02:13:11.788Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-13T02:13:11.788Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (54667.562 ms) ======
[2025-06-13T02:13:11.788Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-06-13T02:13:12.506Z] GC before operation: completed in 816.589 ms, heap usage 405.984 MB -> 90.433 MB.
[2025-06-13T02:13:21.427Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-13T02:13:28.668Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-13T02:13:35.913Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-13T02:13:43.150Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-13T02:13:47.898Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-13T02:13:52.682Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-13T02:13:58.559Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-13T02:14:03.288Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-13T02:14:03.288Z] 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.
[2025-06-13T02:14:03.615Z] The best model improves the baseline by 14.52%.
[2025-06-13T02:14:03.938Z] Top recommended movies for user id 72:
[2025-06-13T02:14:03.938Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-13T02:14:03.938Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-13T02:14:03.938Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-13T02:14:03.938Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-13T02:14:03.938Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-13T02:14:03.938Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (51654.796 ms) ======
[2025-06-13T02:14:03.938Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-06-13T02:14:05.079Z] GC before operation: completed in 849.837 ms, heap usage 540.466 MB -> 90.229 MB.
[2025-06-13T02:14:13.958Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-13T02:14:21.197Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-13T02:14:28.581Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-13T02:14:36.786Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-13T02:14:39.734Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-13T02:14:45.610Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-13T02:14:50.331Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-13T02:14:55.080Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-13T02:14:55.413Z] 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.
[2025-06-13T02:14:55.738Z] The best model improves the baseline by 14.52%.
[2025-06-13T02:14:56.063Z] Top recommended movies for user id 72:
[2025-06-13T02:14:56.063Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-13T02:14:56.063Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-13T02:14:56.063Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-13T02:14:56.063Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-13T02:14:56.063Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-13T02:14:56.063Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (51302.136 ms) ======
[2025-06-13T02:14:56.063Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-06-13T02:14:57.231Z] GC before operation: completed in 824.255 ms, heap usage 390.486 MB -> 90.296 MB.
[2025-06-13T02:15:06.149Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-13T02:15:13.385Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-13T02:15:22.251Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-13T02:15:31.103Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-13T02:15:34.866Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-13T02:15:40.848Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-13T02:15:45.573Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-13T02:15:51.605Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-13T02:15:51.932Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-06-13T02:15:51.932Z] The best model improves the baseline by 14.52%.
[2025-06-13T02:15:52.646Z] Top recommended movies for user id 72:
[2025-06-13T02:15:52.646Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-13T02:15:52.646Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-13T02:15:52.646Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-13T02:15:52.646Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-13T02:15:52.646Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-13T02:15:52.646Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (55416.210 ms) ======
[2025-06-13T02:15:52.646Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-06-13T02:15:53.372Z] GC before operation: completed in 812.412 ms, heap usage 358.811 MB -> 90.311 MB.
[2025-06-13T02:16:02.241Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-13T02:16:11.101Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-13T02:16:18.486Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-13T02:16:27.350Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-13T02:16:32.077Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-13T02:16:36.815Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-13T02:16:41.552Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-13T02:16:46.368Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-13T02:16:47.077Z] 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.
[2025-06-13T02:16:47.403Z] The best model improves the baseline by 14.52%.
[2025-06-13T02:16:48.101Z] Top recommended movies for user id 72:
[2025-06-13T02:16:48.102Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-13T02:16:48.102Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-13T02:16:48.102Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-13T02:16:48.102Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-13T02:16:48.102Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-13T02:16:48.102Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (54836.272 ms) ======
[2025-06-13T02:16:48.102Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-06-13T02:16:48.825Z] GC before operation: completed in 833.797 ms, heap usage 303.673 MB -> 90.132 MB.
[2025-06-13T02:16:57.683Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-13T02:17:04.918Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-13T02:17:12.221Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-13T02:17:19.457Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-13T02:17:24.219Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-13T02:17:28.951Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-13T02:17:33.670Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-13T02:17:37.443Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-13T02:17:38.579Z] 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.
[2025-06-13T02:17:38.579Z] The best model improves the baseline by 14.52%.
[2025-06-13T02:17:39.299Z] Top recommended movies for user id 72:
[2025-06-13T02:17:39.299Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-13T02:17:39.299Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-13T02:17:39.299Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-13T02:17:39.299Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-13T02:17:39.299Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-13T02:17:39.299Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (50148.013 ms) ======
[2025-06-13T02:17:39.299Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-06-13T02:17:40.015Z] GC before operation: completed in 875.032 ms, heap usage 758.476 MB -> 94.160 MB.
[2025-06-13T02:17:48.877Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-13T02:17:56.172Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-13T02:18:03.416Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-13T02:18:10.655Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-13T02:18:15.385Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-13T02:18:20.120Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-13T02:18:24.872Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-13T02:18:29.745Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-13T02:18:30.070Z] 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.
[2025-06-13T02:18:30.070Z] The best model improves the baseline by 14.52%.
[2025-06-13T02:18:30.788Z] Top recommended movies for user id 72:
[2025-06-13T02:18:30.788Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-13T02:18:30.788Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-13T02:18:30.788Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-13T02:18:30.788Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-13T02:18:30.788Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-13T02:18:30.788Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (50693.669 ms) ======
[2025-06-13T02:18:30.788Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-06-13T02:18:31.513Z] GC before operation: completed in 826.826 ms, heap usage 284.876 MB -> 90.174 MB.
[2025-06-13T02:18:40.370Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-13T02:18:47.596Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-13T02:18:55.069Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-13T02:19:02.318Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-13T02:19:07.059Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-13T02:19:10.815Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-13T02:19:16.690Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-13T02:19:20.477Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-13T02:19:21.184Z] 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.
[2025-06-13T02:19:21.521Z] The best model improves the baseline by 14.52%.
[2025-06-13T02:19:22.227Z] Top recommended movies for user id 72:
[2025-06-13T02:19:22.227Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-13T02:19:22.227Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-13T02:19:22.227Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-13T02:19:22.227Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-13T02:19:22.227Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-13T02:19:22.227Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (50781.575 ms) ======
[2025-06-13T02:19:22.227Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-06-13T02:19:23.012Z] GC before operation: completed in 816.075 ms, heap usage 256.708 MB -> 90.221 MB.
[2025-06-13T02:19:31.866Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-13T02:19:40.820Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-13T02:19:48.058Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-13T02:19:55.322Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-13T02:20:01.218Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-13T02:20:05.945Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-13T02:20:10.781Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-13T02:20:15.505Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-13T02:20:16.645Z] 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.
[2025-06-13T02:20:16.973Z] The best model improves the baseline by 14.52%.
[2025-06-13T02:20:17.689Z] Top recommended movies for user id 72:
[2025-06-13T02:20:17.689Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-13T02:20:17.689Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-13T02:20:17.689Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-13T02:20:17.689Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-13T02:20:17.689Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-13T02:20:17.689Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (54457.249 ms) ======
[2025-06-13T02:20:17.689Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-06-13T02:20:18.423Z] GC before operation: completed in 817.823 ms, heap usage 130.567 MB -> 89.974 MB.
[2025-06-13T02:20:27.295Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-13T02:20:34.552Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-13T02:20:41.783Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-13T02:20:50.698Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-13T02:20:54.453Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-13T02:20:59.217Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-13T02:21:05.084Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-13T02:21:09.810Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-13T02:21:10.509Z] 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.
[2025-06-13T02:21:10.509Z] The best model improves the baseline by 14.52%.
[2025-06-13T02:21:11.222Z] Top recommended movies for user id 72:
[2025-06-13T02:21:11.222Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-13T02:21:11.222Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-13T02:21:11.223Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-13T02:21:11.223Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-13T02:21:11.223Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-13T02:21:11.223Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (52913.907 ms) ======
[2025-06-13T02:21:11.223Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-06-13T02:21:11.942Z] GC before operation: completed in 820.980 ms, heap usage 124.184 MB -> 90.014 MB.
[2025-06-13T02:21:20.926Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-06-13T02:21:29.776Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-06-13T02:21:36.998Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-06-13T02:21:44.251Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-06-13T02:21:48.996Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-06-13T02:21:53.815Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-06-13T02:21:59.691Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-06-13T02:22:04.406Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-06-13T02:22:05.108Z] 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.
[2025-06-13T02:22:05.108Z] The best model improves the baseline by 14.52%.
[2025-06-13T02:22:05.814Z] Top recommended movies for user id 72:
[2025-06-13T02:22:05.814Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-06-13T02:22:05.814Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-06-13T02:22:05.814Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-06-13T02:22:05.814Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-06-13T02:22:05.814Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-06-13T02:22:05.814Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (53600.152 ms) ======
[2025-06-13T02:22:08.759Z] -----------------------------------
[2025-06-13T02:22:08.759Z] renaissance-movie-lens_0_PASSED
[2025-06-13T02:22:08.759Z] -----------------------------------
[2025-06-13T02:22:08.759Z]
[2025-06-13T02:22:08.759Z] TEST TEARDOWN:
[2025-06-13T02:22:08.759Z] Nothing to be done for teardown.
[2025-06-13T02:22:08.759Z] renaissance-movie-lens_0 Finish Time: Fri Jun 13 02:22:08 2025 Epoch Time (ms): 1749781328647