renaissance-movie-lens_0
[2025-11-01T09:37:56.429Z] Running test renaissance-movie-lens_0 ...
[2025-11-01T09:37:56.429Z] ===============================================
[2025-11-01T09:37:56.429Z] renaissance-movie-lens_0 Start Time: Sat Nov 1 09:37:56 2025 Epoch Time (ms): 1761989876279
[2025-11-01T09:37:56.429Z] variation: NoOptions
[2025-11-01T09:37:56.429Z] JVM_OPTIONS:
[2025-11-01T09:37:56.429Z] { \
[2025-11-01T09:37:56.429Z] echo ""; echo "TEST SETUP:"; \
[2025-11-01T09:37:56.429Z] echo "Nothing to be done for setup."; \
[2025-11-01T09:37:56.429Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17619888786429/renaissance-movie-lens_0"; \
[2025-11-01T09:37:56.429Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17619888786429/renaissance-movie-lens_0"; \
[2025-11-01T09:37:56.429Z] echo ""; echo "TESTING:"; \
[2025-11-01T09:37:56.429Z] "/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_17619888786429/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-11-01T09:37:56.429Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17619888786429/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-11-01T09:37:56.430Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-11-01T09:37:56.430Z] echo "Nothing to be done for teardown."; \
[2025-11-01T09:37:56.430Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/../TKG/output_17619888786429/TestTargetResult";
[2025-11-01T09:37:56.430Z]
[2025-11-01T09:37:56.430Z] TEST SETUP:
[2025-11-01T09:37:56.430Z] Nothing to be done for setup.
[2025-11-01T09:37:56.430Z]
[2025-11-01T09:37:56.430Z] TESTING:
[2025-11-01T09:37:57.375Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2025-11-01T09:37:57.375Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_aarch64_alpine-linux/aqa-tests/TKG/output_17619888786429/renaissance-movie-lens_0/launcher-093756-7763364511252799707/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2025-11-01T09:37:57.375Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2025-11-01T09:37:57.375Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2025-11-01T09:38:01.496Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2025-11-01T09:38:07.659Z] 09:38:07.380 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2025-11-01T09:38:09.609Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-11-01T09:38:09.609Z] Training: 60056, validation: 20285, test: 19854
[2025-11-01T09:38:09.609Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-11-01T09:38:10.556Z] GC before operation: completed in 102.748 ms, heap usage 222.871 MB -> 75.500 MB.
[2025-11-01T09:38:15.910Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-01T09:38:18.926Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-01T09:38:21.931Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-01T09:38:24.995Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-01T09:38:26.942Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-01T09:38:27.892Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-01T09:38:29.837Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-01T09:38:31.780Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-01T09:38:31.780Z] 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.
[2025-11-01T09:38:31.780Z] The best model improves the baseline by 14.52%.
[2025-11-01T09:38:31.780Z] Top recommended movies for user id 72:
[2025-11-01T09:38:31.780Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-01T09:38:31.780Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-01T09:38:31.780Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-01T09:38:31.780Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-01T09:38:31.780Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-01T09:38:31.780Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (21822.510 ms) ======
[2025-11-01T09:38:31.780Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-11-01T09:38:31.780Z] GC before operation: completed in 130.940 ms, heap usage 387.707 MB -> 86.578 MB.
[2025-11-01T09:38:34.785Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-01T09:38:37.789Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-01T09:38:39.734Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-01T09:38:42.738Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-01T09:38:43.686Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-01T09:38:45.633Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-01T09:38:46.577Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-01T09:38:48.523Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-01T09:38:48.523Z] 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.
[2025-11-01T09:38:48.523Z] The best model improves the baseline by 14.52%.
[2025-11-01T09:38:48.523Z] Top recommended movies for user id 72:
[2025-11-01T09:38:48.523Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-01T09:38:48.523Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-01T09:38:48.523Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-01T09:38:48.523Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-01T09:38:48.523Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-01T09:38:48.523Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (16461.580 ms) ======
[2025-11-01T09:38:48.523Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-11-01T09:38:48.523Z] GC before operation: completed in 131.709 ms, heap usage 444.495 MB -> 88.810 MB.
[2025-11-01T09:38:51.522Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-01T09:38:53.464Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-01T09:38:55.412Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-01T09:38:57.354Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-01T09:38:59.299Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-01T09:39:00.243Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-01T09:39:02.352Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-01T09:39:03.295Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-01T09:39:03.295Z] 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.
[2025-11-01T09:39:03.295Z] The best model improves the baseline by 14.52%.
[2025-11-01T09:39:03.295Z] Top recommended movies for user id 72:
[2025-11-01T09:39:03.295Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-01T09:39:03.295Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-01T09:39:03.295Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-01T09:39:03.295Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-01T09:39:03.295Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-01T09:39:03.295Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (14459.440 ms) ======
[2025-11-01T09:39:03.295Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-11-01T09:39:03.295Z] GC before operation: completed in 145.393 ms, heap usage 536.362 MB -> 89.630 MB.
[2025-11-01T09:39:05.250Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-01T09:39:07.918Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-01T09:39:09.862Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-01T09:39:12.861Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-01T09:39:13.807Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-01T09:39:15.752Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-01T09:39:16.698Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-01T09:39:17.643Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-01T09:39:18.590Z] 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.
[2025-11-01T09:39:18.590Z] The best model improves the baseline by 14.52%.
[2025-11-01T09:39:18.590Z] Top recommended movies for user id 72:
[2025-11-01T09:39:18.590Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-01T09:39:18.590Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-01T09:39:18.590Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-01T09:39:18.590Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-01T09:39:18.590Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-01T09:39:18.590Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (15188.355 ms) ======
[2025-11-01T09:39:18.590Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-11-01T09:39:18.590Z] GC before operation: completed in 133.071 ms, heap usage 361.871 MB -> 89.696 MB.
[2025-11-01T09:39:20.535Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-01T09:39:23.537Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-01T09:39:25.481Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-01T09:39:27.424Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-01T09:39:29.370Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-01T09:39:30.316Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-01T09:39:31.264Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-01T09:39:33.209Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-01T09:39:33.209Z] 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.
[2025-11-01T09:39:33.209Z] The best model improves the baseline by 14.52%.
[2025-11-01T09:39:33.209Z] Top recommended movies for user id 72:
[2025-11-01T09:39:33.209Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-01T09:39:33.209Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-01T09:39:33.209Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-01T09:39:33.209Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-01T09:39:33.209Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-01T09:39:33.209Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (14753.809 ms) ======
[2025-11-01T09:39:33.209Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-11-01T09:39:33.209Z] GC before operation: completed in 130.409 ms, heap usage 93.426 MB -> 89.522 MB.
[2025-11-01T09:39:36.217Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-01T09:39:38.163Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-01T09:39:40.113Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-01T09:39:42.062Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-01T09:39:44.011Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-01T09:39:44.966Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-01T09:39:46.909Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-01T09:39:47.855Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-01T09:39:47.855Z] 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.
[2025-11-01T09:39:47.855Z] The best model improves the baseline by 14.52%.
[2025-11-01T09:39:47.855Z] Top recommended movies for user id 72:
[2025-11-01T09:39:47.855Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-01T09:39:47.855Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-01T09:39:47.855Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-01T09:39:47.855Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-01T09:39:47.855Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-01T09:39:47.855Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (14661.632 ms) ======
[2025-11-01T09:39:47.855Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-11-01T09:39:48.800Z] GC before operation: completed in 210.040 ms, heap usage 152.102 MB -> 89.537 MB.
[2025-11-01T09:39:50.740Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-01T09:39:53.743Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-01T09:39:55.692Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-01T09:39:57.639Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-01T09:39:58.583Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-01T09:40:00.530Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-01T09:40:01.473Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-01T09:40:02.546Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-01T09:40:02.546Z] 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.
[2025-11-01T09:40:02.546Z] The best model improves the baseline by 14.52%.
[2025-11-01T09:40:03.494Z] Top recommended movies for user id 72:
[2025-11-01T09:40:03.494Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-01T09:40:03.494Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-01T09:40:03.494Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-01T09:40:03.494Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-01T09:40:03.494Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-01T09:40:03.494Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (14628.319 ms) ======
[2025-11-01T09:40:03.494Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-11-01T09:40:03.494Z] GC before operation: completed in 124.574 ms, heap usage 445.655 MB -> 89.998 MB.
[2025-11-01T09:40:05.436Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-01T09:40:07.377Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-01T09:40:10.384Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-01T09:40:12.054Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-01T09:40:13.002Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-01T09:40:14.956Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-01T09:40:15.901Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-01T09:40:16.853Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-01T09:40:16.853Z] 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.
[2025-11-01T09:40:16.853Z] The best model improves the baseline by 14.52%.
[2025-11-01T09:40:17.797Z] Top recommended movies for user id 72:
[2025-11-01T09:40:17.797Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-01T09:40:17.797Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-01T09:40:17.797Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-01T09:40:17.797Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-01T09:40:17.797Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-01T09:40:17.797Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (14249.923 ms) ======
[2025-11-01T09:40:17.797Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-11-01T09:40:17.797Z] GC before operation: completed in 125.612 ms, heap usage 369.214 MB -> 90.061 MB.
[2025-11-01T09:40:19.748Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-01T09:40:21.698Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-01T09:40:23.644Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-01T09:40:26.655Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-01T09:40:27.604Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-01T09:40:28.557Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-01T09:40:30.497Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-01T09:40:31.444Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-01T09:40:31.444Z] 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.
[2025-11-01T09:40:31.444Z] The best model improves the baseline by 14.52%.
[2025-11-01T09:40:31.444Z] Top recommended movies for user id 72:
[2025-11-01T09:40:31.444Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-01T09:40:31.444Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-01T09:40:31.444Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-01T09:40:31.444Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-01T09:40:31.444Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-01T09:40:31.444Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (14128.348 ms) ======
[2025-11-01T09:40:31.444Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-11-01T09:40:31.444Z] GC before operation: completed in 127.997 ms, heap usage 571.286 MB -> 93.460 MB.
[2025-11-01T09:40:34.445Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-01T09:40:36.402Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-01T09:40:38.352Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-01T09:40:40.298Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-01T09:40:41.245Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-01T09:40:42.193Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-01T09:40:43.138Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-01T09:40:44.087Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-01T09:40:44.087Z] 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.
[2025-11-01T09:40:45.033Z] The best model improves the baseline by 14.52%.
[2025-11-01T09:40:45.033Z] Top recommended movies for user id 72:
[2025-11-01T09:40:45.033Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-01T09:40:45.033Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-01T09:40:45.033Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-01T09:40:45.033Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-01T09:40:45.033Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-01T09:40:45.033Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (12873.361 ms) ======
[2025-11-01T09:40:45.033Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-11-01T09:40:45.033Z] GC before operation: completed in 126.554 ms, heap usage 288.348 MB -> 90.106 MB.
[2025-11-01T09:40:46.980Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-01T09:40:48.920Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-01T09:40:50.873Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-01T09:40:52.815Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-01T09:40:53.760Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-01T09:40:55.708Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-01T09:40:56.653Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-01T09:40:58.602Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-01T09:40:58.602Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-11-01T09:40:58.602Z] The best model improves the baseline by 14.52%.
[2025-11-01T09:40:58.602Z] Top recommended movies for user id 72:
[2025-11-01T09:40:58.602Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-01T09:40:58.602Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-01T09:40:58.602Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-01T09:40:58.602Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-01T09:40:58.602Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-01T09:40:58.602Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (13705.700 ms) ======
[2025-11-01T09:40:58.602Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-11-01T09:40:58.602Z] GC before operation: completed in 118.865 ms, heap usage 298.532 MB -> 89.918 MB.
[2025-11-01T09:41:00.545Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-01T09:41:02.549Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-01T09:41:04.503Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-01T09:41:06.450Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-01T09:41:07.395Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-01T09:41:09.343Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-01T09:41:10.290Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-01T09:41:11.241Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-01T09:41:12.187Z] 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.
[2025-11-01T09:41:12.187Z] The best model improves the baseline by 14.52%.
[2025-11-01T09:41:12.187Z] Top recommended movies for user id 72:
[2025-11-01T09:41:12.187Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-01T09:41:12.187Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-01T09:41:12.187Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-01T09:41:12.187Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-01T09:41:12.187Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-01T09:41:12.187Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (13284.367 ms) ======
[2025-11-01T09:41:12.187Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-11-01T09:41:12.187Z] GC before operation: completed in 128.988 ms, heap usage 453.373 MB -> 90.325 MB.
[2025-11-01T09:41:14.843Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-01T09:41:15.789Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-01T09:41:17.731Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-01T09:41:19.673Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-01T09:41:21.620Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-01T09:41:22.742Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-01T09:41:23.689Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-01T09:41:24.635Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-01T09:41:24.635Z] 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.
[2025-11-01T09:41:25.582Z] The best model improves the baseline by 14.52%.
[2025-11-01T09:41:25.582Z] Top recommended movies for user id 72:
[2025-11-01T09:41:25.582Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-01T09:41:25.582Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-01T09:41:25.582Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-01T09:41:25.582Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-01T09:41:25.582Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-01T09:41:25.582Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (13175.249 ms) ======
[2025-11-01T09:41:25.582Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-11-01T09:41:25.582Z] GC before operation: completed in 125.158 ms, heap usage 498.359 MB -> 90.469 MB.
[2025-11-01T09:41:27.523Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-01T09:41:29.470Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-01T09:41:31.415Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-01T09:41:33.368Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-01T09:41:34.318Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-01T09:41:35.264Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-01T09:41:37.211Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-01T09:41:38.157Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-01T09:41:38.157Z] 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.
[2025-11-01T09:41:38.157Z] The best model improves the baseline by 14.52%.
[2025-11-01T09:41:38.157Z] Top recommended movies for user id 72:
[2025-11-01T09:41:38.157Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-01T09:41:38.157Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-01T09:41:38.157Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-01T09:41:38.157Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-01T09:41:38.157Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-01T09:41:38.157Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (13054.221 ms) ======
[2025-11-01T09:41:38.157Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-11-01T09:41:38.157Z] GC before operation: completed in 123.565 ms, heap usage 391.919 MB -> 90.148 MB.
[2025-11-01T09:41:41.161Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-01T09:41:43.105Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-01T09:41:45.051Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-01T09:41:46.999Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-01T09:41:47.948Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-01T09:41:48.893Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-01T09:41:49.838Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-01T09:41:51.782Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-01T09:41:51.782Z] 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.
[2025-11-01T09:41:51.782Z] The best model improves the baseline by 14.52%.
[2025-11-01T09:41:51.782Z] Top recommended movies for user id 72:
[2025-11-01T09:41:51.782Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-01T09:41:51.782Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-01T09:41:51.782Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-01T09:41:51.782Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-01T09:41:51.782Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-01T09:41:51.782Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (13075.741 ms) ======
[2025-11-01T09:41:51.782Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-11-01T09:41:51.782Z] GC before operation: completed in 122.046 ms, heap usage 104.580 MB -> 90.023 MB.
[2025-11-01T09:41:53.723Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-01T09:41:55.665Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-01T09:41:57.605Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-01T09:41:59.546Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-01T09:42:01.488Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-01T09:42:02.548Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-01T09:42:03.496Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-01T09:42:04.443Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-01T09:42:04.443Z] 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.
[2025-11-01T09:42:04.443Z] The best model improves the baseline by 14.52%.
[2025-11-01T09:42:05.395Z] Top recommended movies for user id 72:
[2025-11-01T09:42:05.395Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-01T09:42:05.395Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-01T09:42:05.395Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-01T09:42:05.395Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-01T09:42:05.395Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-01T09:42:05.395Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (13221.949 ms) ======
[2025-11-01T09:42:05.395Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-11-01T09:42:05.395Z] GC before operation: completed in 122.029 ms, heap usage 472.459 MB -> 90.295 MB.
[2025-11-01T09:42:07.337Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-01T09:42:09.288Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-01T09:42:11.932Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-01T09:42:12.882Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-01T09:42:13.828Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-01T09:42:15.778Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-01T09:42:16.722Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-01T09:42:17.672Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-01T09:42:17.672Z] 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.
[2025-11-01T09:42:17.672Z] The best model improves the baseline by 14.52%.
[2025-11-01T09:42:18.620Z] Top recommended movies for user id 72:
[2025-11-01T09:42:18.620Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-01T09:42:18.620Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-01T09:42:18.620Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-01T09:42:18.620Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-01T09:42:18.620Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-01T09:42:18.620Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (13120.691 ms) ======
[2025-11-01T09:42:18.620Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-11-01T09:42:18.620Z] GC before operation: completed in 128.411 ms, heap usage 292.509 MB -> 90.192 MB.
[2025-11-01T09:42:20.567Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-01T09:42:22.509Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-01T09:42:24.461Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-01T09:42:26.405Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-01T09:42:27.354Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-01T09:42:28.301Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-01T09:42:30.250Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-01T09:42:31.199Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-01T09:42:31.199Z] 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.
[2025-11-01T09:42:31.199Z] The best model improves the baseline by 14.52%.
[2025-11-01T09:42:31.199Z] Top recommended movies for user id 72:
[2025-11-01T09:42:31.199Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-01T09:42:31.199Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-01T09:42:31.199Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-01T09:42:31.199Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-01T09:42:31.199Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-01T09:42:31.199Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (13132.389 ms) ======
[2025-11-01T09:42:31.199Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-11-01T09:42:31.199Z] GC before operation: completed in 143.001 ms, heap usage 369.345 MB -> 90.174 MB.
[2025-11-01T09:42:34.215Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-01T09:42:35.164Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-01T09:42:37.109Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-01T09:42:39.054Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-01T09:42:40.000Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-01T09:42:40.950Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-01T09:42:42.892Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-01T09:42:43.842Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-01T09:42:43.842Z] 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.
[2025-11-01T09:42:43.842Z] The best model improves the baseline by 14.52%.
[2025-11-01T09:42:43.842Z] Top recommended movies for user id 72:
[2025-11-01T09:42:43.842Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-01T09:42:43.842Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-01T09:42:43.842Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-01T09:42:43.842Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-01T09:42:43.842Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-01T09:42:43.842Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (12489.268 ms) ======
[2025-11-01T09:42:43.842Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-11-01T09:42:43.842Z] GC before operation: completed in 135.881 ms, heap usage 371.550 MB -> 90.153 MB.
[2025-11-01T09:42:46.847Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-01T09:42:48.799Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-01T09:42:50.744Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-01T09:42:52.689Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-01T09:42:53.639Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-01T09:42:54.592Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-01T09:42:55.546Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-01T09:42:57.501Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-01T09:42:57.501Z] 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.
[2025-11-01T09:42:57.501Z] The best model improves the baseline by 14.52%.
[2025-11-01T09:42:57.501Z] Top recommended movies for user id 72:
[2025-11-01T09:42:57.501Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-01T09:42:57.501Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-01T09:42:57.501Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-01T09:42:57.501Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-01T09:42:57.501Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-01T09:42:57.501Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (13159.714 ms) ======
[2025-11-01T09:42:57.501Z] -----------------------------------
[2025-11-01T09:42:57.501Z] renaissance-movie-lens_0_PASSED
[2025-11-01T09:42:57.501Z] -----------------------------------
[2025-11-01T09:42:57.501Z]
[2025-11-01T09:42:57.501Z] TEST TEARDOWN:
[2025-11-01T09:42:57.501Z] Nothing to be done for teardown.
[2025-11-01T09:42:57.501Z] renaissance-movie-lens_0 Finish Time: Sat Nov 1 09:42:57 2025 Epoch Time (ms): 1761990177327