renaissance-movie-lens_0
[2025-10-23T14:09:11.098Z] Running test renaissance-movie-lens_0 ...
[2025-10-23T14:09:11.098Z] ===============================================
[2025-10-23T14:09:11.098Z] renaissance-movie-lens_0 Start Time: Thu Oct 23 14:09:09 2025 Epoch Time (ms): 1761228549774
[2025-10-23T14:09:11.098Z] variation: NoOptions
[2025-10-23T14:09:11.098Z] JVM_OPTIONS:
[2025-10-23T14:09:11.098Z] { \
[2025-10-23T14:09:11.098Z] echo ""; echo "TEST SETUP:"; \
[2025-10-23T14:09:11.098Z] echo "Nothing to be done for setup."; \
[2025-10-23T14:09:11.098Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17612273907179/renaissance-movie-lens_0"; \
[2025-10-23T14:09:11.098Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17612273907179/renaissance-movie-lens_0"; \
[2025-10-23T14:09:11.098Z] echo ""; echo "TESTING:"; \
[2025-10-23T14:09:11.098Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_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_x86-64_alpine-linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17612273907179/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-10-23T14:09:11.098Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17612273907179/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-10-23T14:09:11.098Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-10-23T14:09:11.098Z] echo "Nothing to be done for teardown."; \
[2025-10-23T14:09:11.098Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/../TKG/output_17612273907179/TestTargetResult";
[2025-10-23T14:09:11.098Z]
[2025-10-23T14:09:11.098Z] TEST SETUP:
[2025-10-23T14:09:11.098Z] Nothing to be done for setup.
[2025-10-23T14:09:11.098Z]
[2025-10-23T14:09:11.098Z] TESTING:
[2025-10-23T14:09:11.098Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2025-10-23T14:09:11.098Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_x86-64_alpine-linux/aqa-tests/TKG/output_17612273907179/renaissance-movie-lens_0/launcher-140909-6523083564320092846/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2025-10-23T14:09:11.099Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2025-10-23T14:09:11.099Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2025-10-23T14:09:15.462Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2025-10-23T14:09:22.217Z] 14:09:21.072 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.
[2025-10-23T14:09:23.782Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-10-23T14:09:24.541Z] Training: 60056, validation: 20285, test: 19854
[2025-10-23T14:09:24.541Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-10-23T14:09:24.541Z] GC before operation: completed in 131.406 ms, heap usage 274.413 MB -> 75.822 MB.
[2025-10-23T14:09:31.396Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-23T14:09:35.776Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-23T14:09:39.135Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-23T14:09:41.565Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-23T14:09:43.986Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-23T14:09:45.549Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-23T14:09:47.108Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-23T14:09:48.673Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-23T14:09:48.673Z] 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.
[2025-10-23T14:09:48.673Z] The best model improves the baseline by 14.52%.
[2025-10-23T14:09:49.429Z] Top recommended movies for user id 72:
[2025-10-23T14:09:49.429Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-23T14:09:49.429Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-23T14:09:49.429Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-23T14:09:49.429Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-23T14:09:49.429Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-23T14:09:49.429Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (24792.998 ms) ======
[2025-10-23T14:09:49.429Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-10-23T14:09:49.429Z] GC before operation: completed in 125.863 ms, heap usage 383.481 MB -> 89.870 MB.
[2025-10-23T14:09:51.857Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-23T14:09:55.339Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-23T14:09:58.026Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-23T14:10:00.454Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-23T14:10:02.889Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-23T14:10:04.449Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-23T14:10:06.006Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-23T14:10:07.571Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-23T14:10:07.571Z] 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.
[2025-10-23T14:10:07.571Z] The best model improves the baseline by 14.52%.
[2025-10-23T14:10:07.571Z] Top recommended movies for user id 72:
[2025-10-23T14:10:07.571Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-23T14:10:07.571Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-23T14:10:07.571Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-23T14:10:07.571Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-23T14:10:07.571Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-23T14:10:07.571Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (18323.935 ms) ======
[2025-10-23T14:10:07.571Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-10-23T14:10:07.571Z] GC before operation: completed in 110.320 ms, heap usage 247.445 MB -> 88.678 MB.
[2025-10-23T14:10:10.931Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-23T14:10:13.367Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-23T14:10:15.791Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-23T14:10:18.211Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-23T14:10:19.764Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-23T14:10:21.320Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-23T14:10:22.882Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-23T14:10:24.439Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-23T14:10:24.439Z] 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.
[2025-10-23T14:10:24.439Z] The best model improves the baseline by 14.52%.
[2025-10-23T14:10:25.193Z] Top recommended movies for user id 72:
[2025-10-23T14:10:25.193Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-23T14:10:25.193Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-23T14:10:25.193Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-23T14:10:25.193Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-23T14:10:25.193Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-23T14:10:25.193Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (17098.190 ms) ======
[2025-10-23T14:10:25.193Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-10-23T14:10:25.193Z] GC before operation: completed in 123.285 ms, heap usage 419.478 MB -> 89.535 MB.
[2025-10-23T14:10:27.614Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-23T14:10:30.115Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-23T14:10:32.537Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-23T14:10:34.954Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-23T14:10:36.511Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-23T14:10:38.071Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-23T14:10:40.150Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-23T14:10:41.707Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-23T14:10:41.707Z] 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.
[2025-10-23T14:10:41.707Z] The best model improves the baseline by 14.52%.
[2025-10-23T14:10:41.707Z] Top recommended movies for user id 72:
[2025-10-23T14:10:41.707Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-23T14:10:41.707Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-23T14:10:41.707Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-23T14:10:41.707Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-23T14:10:41.707Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-23T14:10:41.707Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (16973.078 ms) ======
[2025-10-23T14:10:41.707Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-10-23T14:10:42.467Z] GC before operation: completed in 126.759 ms, heap usage 371.476 MB -> 89.873 MB.
[2025-10-23T14:10:44.888Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-23T14:10:47.311Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-23T14:10:49.738Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-23T14:10:52.164Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-23T14:10:53.725Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-23T14:10:55.280Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-23T14:10:56.843Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-23T14:10:58.407Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-23T14:10:59.160Z] 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.
[2025-10-23T14:10:59.160Z] The best model improves the baseline by 14.52%.
[2025-10-23T14:10:59.160Z] Top recommended movies for user id 72:
[2025-10-23T14:10:59.160Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-23T14:10:59.160Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-23T14:10:59.160Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-23T14:10:59.160Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-23T14:10:59.160Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-23T14:10:59.160Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (17004.550 ms) ======
[2025-10-23T14:10:59.160Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-10-23T14:10:59.160Z] GC before operation: completed in 116.913 ms, heap usage 147.571 MB -> 89.461 MB.
[2025-10-23T14:11:02.524Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-23T14:11:04.086Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-23T14:11:07.443Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-23T14:11:09.865Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-23T14:11:11.422Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-23T14:11:12.985Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-23T14:11:14.552Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-23T14:11:15.311Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-23T14:11:16.065Z] 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.
[2025-10-23T14:11:16.065Z] The best model improves the baseline by 14.52%.
[2025-10-23T14:11:16.065Z] Top recommended movies for user id 72:
[2025-10-23T14:11:16.065Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-23T14:11:16.065Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-23T14:11:16.065Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-23T14:11:16.065Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-23T14:11:16.065Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-23T14:11:16.065Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (16854.703 ms) ======
[2025-10-23T14:11:16.065Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-10-23T14:11:16.065Z] GC before operation: completed in 107.883 ms, heap usage 148.979 MB -> 89.798 MB.
[2025-10-23T14:11:18.493Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-23T14:11:21.421Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-23T14:11:23.849Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-23T14:11:26.265Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-23T14:11:27.018Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-23T14:11:28.574Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-23T14:11:30.132Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-23T14:11:31.699Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-23T14:11:31.699Z] 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.
[2025-10-23T14:11:31.699Z] The best model improves the baseline by 14.52%.
[2025-10-23T14:11:32.451Z] Top recommended movies for user id 72:
[2025-10-23T14:11:32.451Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-23T14:11:32.451Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-23T14:11:32.451Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-23T14:11:32.451Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-23T14:11:32.451Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-23T14:11:32.451Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (15920.173 ms) ======
[2025-10-23T14:11:32.451Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-10-23T14:11:32.451Z] GC before operation: completed in 115.602 ms, heap usage 372.086 MB -> 90.162 MB.
[2025-10-23T14:11:34.870Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-23T14:11:37.290Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-23T14:11:39.734Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-23T14:11:42.160Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-23T14:11:42.915Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-23T14:11:44.484Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-23T14:11:46.047Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-23T14:11:46.804Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-23T14:11:47.554Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-10-23T14:11:47.554Z] The best model improves the baseline by 14.52%.
[2025-10-23T14:11:47.554Z] Top recommended movies for user id 72:
[2025-10-23T14:11:47.554Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-23T14:11:47.554Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-23T14:11:47.554Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-23T14:11:47.554Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-23T14:11:47.554Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-23T14:11:47.554Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (15184.748 ms) ======
[2025-10-23T14:11:47.554Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-10-23T14:11:47.554Z] GC before operation: completed in 116.664 ms, heap usage 505.527 MB -> 90.496 MB.
[2025-10-23T14:11:49.983Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-23T14:11:52.403Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-23T14:11:54.827Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-23T14:11:57.247Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-23T14:11:58.796Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-23T14:12:00.057Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-23T14:12:01.614Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-23T14:12:03.178Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-23T14:12:03.178Z] 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.
[2025-10-23T14:12:03.178Z] The best model improves the baseline by 14.52%.
[2025-10-23T14:12:03.178Z] Top recommended movies for user id 72:
[2025-10-23T14:12:03.178Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-23T14:12:03.178Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-23T14:12:03.178Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-23T14:12:03.178Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-23T14:12:03.178Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-23T14:12:03.178Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (15930.804 ms) ======
[2025-10-23T14:12:03.178Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-10-23T14:12:03.932Z] GC before operation: completed in 122.990 ms, heap usage 113.771 MB -> 90.603 MB.
[2025-10-23T14:12:06.349Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-23T14:12:08.768Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-23T14:12:11.184Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-23T14:12:15.557Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-23T14:12:17.109Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-23T14:12:17.870Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-23T14:12:19.443Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-23T14:12:21.003Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-23T14:12:21.757Z] 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.
[2025-10-23T14:12:21.757Z] The best model improves the baseline by 14.52%.
[2025-10-23T14:12:21.757Z] Top recommended movies for user id 72:
[2025-10-23T14:12:21.757Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-23T14:12:21.757Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-23T14:12:21.757Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-23T14:12:21.757Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-23T14:12:21.757Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-23T14:12:21.757Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (18053.595 ms) ======
[2025-10-23T14:12:21.757Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-10-23T14:12:21.757Z] GC before operation: completed in 117.180 ms, heap usage 352.936 MB -> 90.343 MB.
[2025-10-23T14:12:24.184Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-23T14:12:26.611Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-23T14:12:29.028Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-23T14:12:31.566Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-23T14:12:33.122Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-23T14:12:34.677Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-23T14:12:36.232Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-23T14:12:37.792Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-23T14:12:37.792Z] 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.
[2025-10-23T14:12:37.792Z] The best model improves the baseline by 14.52%.
[2025-10-23T14:12:37.792Z] Top recommended movies for user id 72:
[2025-10-23T14:12:37.792Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-23T14:12:37.792Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-23T14:12:37.792Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-23T14:12:37.792Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-23T14:12:37.792Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-23T14:12:37.792Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (16317.806 ms) ======
[2025-10-23T14:12:37.792Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-10-23T14:12:38.553Z] GC before operation: completed in 111.120 ms, heap usage 374.590 MB -> 90.142 MB.
[2025-10-23T14:12:40.971Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-23T14:12:42.551Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-23T14:12:45.513Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-23T14:12:47.078Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-23T14:12:51.447Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-23T14:12:52.199Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-23T14:12:53.755Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-23T14:12:55.314Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-23T14:12:55.314Z] 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.
[2025-10-23T14:12:55.314Z] The best model improves the baseline by 14.52%.
[2025-10-23T14:12:56.065Z] Top recommended movies for user id 72:
[2025-10-23T14:12:56.065Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-23T14:12:56.065Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-23T14:12:56.065Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-23T14:12:56.065Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-23T14:12:56.065Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-23T14:12:56.065Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (17623.837 ms) ======
[2025-10-23T14:12:56.065Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-10-23T14:12:56.065Z] GC before operation: completed in 122.618 ms, heap usage 295.858 MB -> 90.291 MB.
[2025-10-23T14:12:58.484Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-23T14:13:00.897Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-23T14:13:03.336Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-23T14:13:05.753Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-23T14:13:07.316Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-23T14:13:08.875Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-23T14:13:09.628Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-23T14:13:11.182Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-23T14:13:11.936Z] 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.
[2025-10-23T14:13:11.936Z] The best model improves the baseline by 14.52%.
[2025-10-23T14:13:11.936Z] Top recommended movies for user id 72:
[2025-10-23T14:13:11.936Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-23T14:13:11.936Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-23T14:13:11.936Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-23T14:13:11.936Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-23T14:13:11.936Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-23T14:13:11.936Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (15852.759 ms) ======
[2025-10-23T14:13:11.936Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-10-23T14:13:11.936Z] GC before operation: completed in 124.875 ms, heap usage 484.692 MB -> 90.707 MB.
[2025-10-23T14:13:14.351Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-23T14:13:16.773Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-23T14:13:19.188Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-23T14:13:21.607Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-23T14:13:23.164Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-23T14:13:24.733Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-23T14:13:25.487Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-23T14:13:27.046Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-23T14:13:27.800Z] 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.
[2025-10-23T14:13:27.800Z] The best model improves the baseline by 14.52%.
[2025-10-23T14:13:27.800Z] Top recommended movies for user id 72:
[2025-10-23T14:13:27.800Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-23T14:13:27.800Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-23T14:13:27.800Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-23T14:13:27.800Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-23T14:13:27.800Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-23T14:13:27.800Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (15736.122 ms) ======
[2025-10-23T14:13:27.800Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-10-23T14:13:27.800Z] GC before operation: completed in 109.690 ms, heap usage 153.038 MB -> 90.013 MB.
[2025-10-23T14:13:29.848Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-23T14:13:32.266Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-23T14:13:34.692Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-23T14:13:37.107Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-23T14:13:38.668Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-23T14:13:40.226Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-23T14:13:41.786Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-23T14:13:42.545Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-23T14:13:43.294Z] 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.
[2025-10-23T14:13:43.294Z] The best model improves the baseline by 14.52%.
[2025-10-23T14:13:43.294Z] Top recommended movies for user id 72:
[2025-10-23T14:13:43.294Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-23T14:13:43.294Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-23T14:13:43.294Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-23T14:13:43.294Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-23T14:13:43.294Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-23T14:13:43.294Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (15320.189 ms) ======
[2025-10-23T14:13:43.294Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-10-23T14:13:43.294Z] GC before operation: completed in 115.163 ms, heap usage 518.756 MB -> 90.776 MB.
[2025-10-23T14:13:45.715Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-23T14:13:48.132Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-23T14:13:50.557Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-23T14:13:52.979Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-23T14:13:53.737Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-23T14:13:55.291Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-23T14:13:56.847Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-23T14:13:58.411Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-23T14:13:58.411Z] 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.
[2025-10-23T14:13:58.411Z] The best model improves the baseline by 14.52%.
[2025-10-23T14:13:58.411Z] Top recommended movies for user id 72:
[2025-10-23T14:13:58.411Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-23T14:13:58.411Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-23T14:13:58.411Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-23T14:13:58.411Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-23T14:13:58.411Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-23T14:13:58.411Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (15374.570 ms) ======
[2025-10-23T14:13:58.411Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-10-23T14:13:58.411Z] GC before operation: completed in 125.599 ms, heap usage 370.818 MB -> 90.361 MB.
[2025-10-23T14:14:00.840Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-23T14:14:03.264Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-23T14:14:05.695Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-23T14:14:08.122Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-23T14:14:09.880Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-23T14:14:10.635Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-23T14:14:12.188Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-23T14:14:13.753Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-23T14:14:13.753Z] 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.
[2025-10-23T14:14:13.753Z] The best model improves the baseline by 14.52%.
[2025-10-23T14:14:13.753Z] Top recommended movies for user id 72:
[2025-10-23T14:14:13.753Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-23T14:14:13.753Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-23T14:14:13.753Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-23T14:14:13.753Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-23T14:14:13.753Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-23T14:14:13.753Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (15182.550 ms) ======
[2025-10-23T14:14:13.753Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-10-23T14:14:13.753Z] GC before operation: completed in 117.489 ms, heap usage 295.148 MB -> 90.330 MB.
[2025-10-23T14:14:16.172Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-23T14:14:18.598Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-23T14:14:21.032Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-23T14:14:23.462Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-23T14:14:25.030Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-23T14:14:25.785Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-23T14:14:27.346Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-23T14:14:28.909Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-23T14:14:28.909Z] 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.
[2025-10-23T14:14:28.909Z] The best model improves the baseline by 14.52%.
[2025-10-23T14:14:29.662Z] Top recommended movies for user id 72:
[2025-10-23T14:14:29.662Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-23T14:14:29.662Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-23T14:14:29.662Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-23T14:14:29.662Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-23T14:14:29.662Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-23T14:14:29.662Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (15411.168 ms) ======
[2025-10-23T14:14:29.662Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-10-23T14:14:29.662Z] GC before operation: completed in 110.193 ms, heap usage 303.457 MB -> 90.230 MB.
[2025-10-23T14:14:32.175Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-23T14:14:34.593Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-23T14:14:37.050Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-23T14:14:38.617Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-23T14:14:40.173Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-23T14:14:41.730Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-23T14:14:43.288Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-23T14:14:44.050Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-23T14:14:44.807Z] 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.
[2025-10-23T14:14:44.807Z] The best model improves the baseline by 14.52%.
[2025-10-23T14:14:44.807Z] Top recommended movies for user id 72:
[2025-10-23T14:14:44.807Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-23T14:14:44.807Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-23T14:14:44.807Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-23T14:14:44.807Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-23T14:14:44.807Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-23T14:14:44.807Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (15315.065 ms) ======
[2025-10-23T14:14:44.807Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-10-23T14:14:44.807Z] GC before operation: completed in 113.882 ms, heap usage 366.816 MB -> 90.385 MB.
[2025-10-23T14:14:47.221Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-10-23T14:14:49.644Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-10-23T14:14:52.062Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-10-23T14:14:54.138Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-10-23T14:14:54.896Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-10-23T14:14:56.452Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-10-23T14:14:58.015Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-10-23T14:14:58.770Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-10-23T14:14:58.770Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-10-23T14:14:58.770Z] The best model improves the baseline by 14.52%.
[2025-10-23T14:14:59.519Z] Top recommended movies for user id 72:
[2025-10-23T14:14:59.519Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-10-23T14:14:59.519Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-10-23T14:14:59.519Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-10-23T14:14:59.519Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-10-23T14:14:59.519Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-10-23T14:14:59.519Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (14257.827 ms) ======
[2025-10-23T14:14:59.519Z] -----------------------------------
[2025-10-23T14:14:59.519Z] renaissance-movie-lens_0_PASSED
[2025-10-23T14:14:59.519Z] -----------------------------------
[2025-10-23T14:14:59.519Z]
[2025-10-23T14:14:59.519Z] TEST TEARDOWN:
[2025-10-23T14:14:59.519Z] Nothing to be done for teardown.
[2025-10-23T14:14:59.519Z] renaissance-movie-lens_0 Finish Time: Thu Oct 23 14:14:59 2025 Epoch Time (ms): 1761228899175