renaissance-movie-lens_0
[2025-03-27T06:05:46.442Z] Running test renaissance-movie-lens_0 ...
[2025-03-27T06:05:46.442Z] ===============================================
[2025-03-27T06:05:46.442Z] renaissance-movie-lens_0 Start Time: Thu Mar 27 06:05:45 2025 Epoch Time (ms): 1743055545312
[2025-03-27T06:05:46.442Z] variation: NoOptions
[2025-03-27T06:05:46.442Z] JVM_OPTIONS:
[2025-03-27T06:05:46.442Z] { \
[2025-03-27T06:05:46.442Z] echo ""; echo "TEST SETUP:"; \
[2025-03-27T06:05:46.442Z] echo "Nothing to be done for setup."; \
[2025-03-27T06:05:46.442Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17430516197944/renaissance-movie-lens_0"; \
[2025-03-27T06:05:46.442Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17430516197944/renaissance-movie-lens_0"; \
[2025-03-27T06:05:46.442Z] echo ""; echo "TESTING:"; \
[2025-03-27T06:05:46.443Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_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_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17430516197944/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-03-27T06:05:46.443Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17430516197944/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-03-27T06:05:46.443Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-03-27T06:05:46.443Z] echo "Nothing to be done for teardown."; \
[2025-03-27T06:05:46.443Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17430516197944/TestTargetResult";
[2025-03-27T06:05:46.443Z]
[2025-03-27T06:05:46.443Z] TEST SETUP:
[2025-03-27T06:05:46.443Z] Nothing to be done for setup.
[2025-03-27T06:05:46.443Z]
[2025-03-27T06:05:46.443Z] TESTING:
[2025-03-27T06:05:55.711Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads.
[2025-03-27T06:06:04.750Z] 06:06:03.653 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB.
[2025-03-27T06:06:07.870Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-03-27T06:06:08.546Z] Training: 60056, validation: 20285, test: 19854
[2025-03-27T06:06:08.546Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-03-27T06:06:09.219Z] GC before operation: completed in 324.233 ms, heap usage 210.549 MB -> 75.724 MB.
[2025-03-27T06:06:21.322Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-27T06:06:29.167Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-27T06:06:38.567Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-27T06:06:46.299Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-27T06:06:52.064Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-27T06:06:57.455Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-27T06:07:05.512Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-27T06:07:09.459Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-27T06:07:10.219Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2025-03-27T06:07:11.083Z] The best model improves the baseline by 14.34%.
[2025-03-27T06:07:12.157Z] Top recommended movies for user id 72:
[2025-03-27T06:07:12.157Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-03-27T06:07:12.157Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-03-27T06:07:12.157Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-03-27T06:07:12.157Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-03-27T06:07:12.157Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-03-27T06:07:12.157Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (62663.355 ms) ======
[2025-03-27T06:07:12.157Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-03-27T06:07:13.068Z] GC before operation: completed in 1294.484 ms, heap usage 313.697 MB -> 89.809 MB.
[2025-03-27T06:07:22.129Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-27T06:07:26.305Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-27T06:07:33.951Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-27T06:07:40.380Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-27T06:07:43.388Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-27T06:07:47.334Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-27T06:07:50.409Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-27T06:07:54.582Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-27T06:07:55.220Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2025-03-27T06:07:55.220Z] The best model improves the baseline by 14.34%.
[2025-03-27T06:07:55.220Z] Top recommended movies for user id 72:
[2025-03-27T06:07:55.220Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-03-27T06:07:55.220Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-03-27T06:07:55.220Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-03-27T06:07:55.220Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-03-27T06:07:55.220Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-03-27T06:07:55.220Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (42215.656 ms) ======
[2025-03-27T06:07:55.220Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-03-27T06:07:55.889Z] GC before operation: completed in 256.122 ms, heap usage 221.431 MB -> 87.838 MB.
[2025-03-27T06:08:01.454Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-27T06:08:06.534Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-27T06:08:11.576Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-27T06:08:15.455Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-27T06:08:19.657Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-27T06:08:23.198Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-27T06:08:26.504Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-27T06:08:29.548Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-27T06:08:30.188Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2025-03-27T06:08:30.188Z] The best model improves the baseline by 14.34%.
[2025-03-27T06:08:30.839Z] Top recommended movies for user id 72:
[2025-03-27T06:08:30.839Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-03-27T06:08:30.839Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-03-27T06:08:30.839Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-03-27T06:08:30.839Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-03-27T06:08:30.839Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-03-27T06:08:30.839Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (34909.217 ms) ======
[2025-03-27T06:08:30.839Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-03-27T06:08:30.839Z] GC before operation: completed in 285.960 ms, heap usage 284.228 MB -> 88.613 MB.
[2025-03-27T06:08:35.939Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-27T06:08:41.025Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-27T06:08:48.822Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-27T06:08:55.271Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-27T06:08:59.376Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-27T06:09:02.468Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-27T06:09:06.448Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-27T06:09:09.447Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-27T06:09:10.116Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2025-03-27T06:09:10.116Z] The best model improves the baseline by 14.34%.
[2025-03-27T06:09:10.116Z] Top recommended movies for user id 72:
[2025-03-27T06:09:10.116Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-03-27T06:09:10.116Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-03-27T06:09:10.116Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-03-27T06:09:10.116Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-03-27T06:09:10.116Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-03-27T06:09:10.116Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (39403.785 ms) ======
[2025-03-27T06:09:10.116Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-03-27T06:09:10.757Z] GC before operation: completed in 485.834 ms, heap usage 282.905 MB -> 88.896 MB.
[2025-03-27T06:09:15.866Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-27T06:09:22.060Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-27T06:09:28.140Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-27T06:09:32.135Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-27T06:09:35.195Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-27T06:09:38.142Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-27T06:09:41.581Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-27T06:09:43.850Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-27T06:09:44.558Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2025-03-27T06:09:44.558Z] The best model improves the baseline by 14.34%.
[2025-03-27T06:09:44.558Z] Top recommended movies for user id 72:
[2025-03-27T06:09:44.558Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-03-27T06:09:44.558Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-03-27T06:09:44.558Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-03-27T06:09:44.558Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-03-27T06:09:44.558Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-03-27T06:09:44.558Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (34038.615 ms) ======
[2025-03-27T06:09:44.558Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-03-27T06:09:45.224Z] GC before operation: completed in 250.360 ms, heap usage 415.785 MB -> 89.152 MB.
[2025-03-27T06:09:50.155Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-27T06:09:54.162Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-27T06:10:00.245Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-27T06:10:05.305Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-27T06:10:08.546Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-27T06:10:11.671Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-27T06:10:15.682Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-27T06:10:18.691Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-27T06:10:19.329Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2025-03-27T06:10:19.329Z] The best model improves the baseline by 14.34%.
[2025-03-27T06:10:19.329Z] Top recommended movies for user id 72:
[2025-03-27T06:10:19.329Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-03-27T06:10:19.329Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-03-27T06:10:19.329Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-03-27T06:10:19.329Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-03-27T06:10:19.329Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-03-27T06:10:19.329Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (34524.941 ms) ======
[2025-03-27T06:10:19.329Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-03-27T06:10:19.980Z] GC before operation: completed in 310.322 ms, heap usage 176.356 MB -> 89.075 MB.
[2025-03-27T06:10:24.936Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-27T06:10:29.324Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-27T06:10:34.477Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-27T06:10:39.552Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-27T06:10:41.757Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-27T06:10:46.004Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-27T06:10:48.174Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-27T06:10:52.380Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-27T06:10:53.809Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2025-03-27T06:10:53.809Z] The best model improves the baseline by 14.34%.
[2025-03-27T06:10:53.809Z] Top recommended movies for user id 72:
[2025-03-27T06:10:53.809Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-03-27T06:10:53.809Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-03-27T06:10:53.809Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-03-27T06:10:53.809Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-03-27T06:10:53.809Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-03-27T06:10:53.809Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (34189.248 ms) ======
[2025-03-27T06:10:53.809Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-03-27T06:10:54.454Z] GC before operation: completed in 287.801 ms, heap usage 198.557 MB -> 88.998 MB.
[2025-03-27T06:10:58.423Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-27T06:11:05.133Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-27T06:11:11.381Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-27T06:11:18.740Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-27T06:11:22.034Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-27T06:11:25.325Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-27T06:11:29.560Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-27T06:11:32.563Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-27T06:11:34.065Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2025-03-27T06:11:34.066Z] The best model improves the baseline by 14.34%.
[2025-03-27T06:11:34.726Z] Top recommended movies for user id 72:
[2025-03-27T06:11:34.726Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-03-27T06:11:34.726Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-03-27T06:11:34.726Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-03-27T06:11:34.726Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-03-27T06:11:34.726Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-03-27T06:11:34.726Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (40185.299 ms) ======
[2025-03-27T06:11:34.726Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-03-27T06:11:34.726Z] GC before operation: completed in 232.889 ms, heap usage 244.402 MB -> 89.392 MB.
[2025-03-27T06:11:41.143Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-27T06:11:46.177Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-27T06:11:51.178Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-27T06:11:57.842Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-27T06:12:00.160Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-27T06:12:04.333Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-27T06:12:09.493Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-27T06:12:12.722Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-27T06:12:12.722Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2025-03-27T06:12:12.723Z] The best model improves the baseline by 14.34%.
[2025-03-27T06:12:13.398Z] Top recommended movies for user id 72:
[2025-03-27T06:12:13.398Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-03-27T06:12:13.398Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-03-27T06:12:13.398Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-03-27T06:12:13.398Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-03-27T06:12:13.398Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-03-27T06:12:13.398Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (38538.873 ms) ======
[2025-03-27T06:12:13.398Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-03-27T06:12:13.398Z] GC before operation: completed in 332.632 ms, heap usage 117.011 MB -> 89.038 MB.
[2025-03-27T06:12:18.449Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-27T06:12:26.067Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-27T06:12:33.947Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-27T06:12:40.333Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-27T06:12:43.428Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-27T06:12:45.616Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-27T06:12:51.489Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-27T06:12:55.568Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-27T06:12:56.256Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2025-03-27T06:12:56.256Z] The best model improves the baseline by 14.34%.
[2025-03-27T06:12:56.256Z] Top recommended movies for user id 72:
[2025-03-27T06:12:56.256Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-03-27T06:12:56.256Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-03-27T06:12:56.256Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-03-27T06:12:56.256Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-03-27T06:12:56.256Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-03-27T06:12:56.256Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (42568.612 ms) ======
[2025-03-27T06:12:56.256Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-03-27T06:12:56.256Z] GC before operation: completed in 247.317 ms, heap usage 355.101 MB -> 89.623 MB.
[2025-03-27T06:13:02.433Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-27T06:13:08.869Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-27T06:13:15.334Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-27T06:13:21.784Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-27T06:13:24.875Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-27T06:13:27.002Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-27T06:13:33.287Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-27T06:13:37.489Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-27T06:13:37.489Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2025-03-27T06:13:38.195Z] The best model improves the baseline by 14.34%.
[2025-03-27T06:13:38.195Z] Top recommended movies for user id 72:
[2025-03-27T06:13:38.195Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-03-27T06:13:38.195Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-03-27T06:13:38.195Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-03-27T06:13:38.195Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-03-27T06:13:38.195Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-03-27T06:13:38.195Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (41757.430 ms) ======
[2025-03-27T06:13:38.195Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-03-27T06:13:38.195Z] GC before operation: completed in 238.930 ms, heap usage 231.894 MB -> 89.189 MB.
[2025-03-27T06:13:43.084Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-27T06:13:48.095Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-27T06:13:53.168Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-27T06:13:58.346Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-27T06:14:00.490Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-27T06:14:03.480Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-27T06:14:08.559Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-27T06:14:11.895Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-27T06:14:12.655Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2025-03-27T06:14:12.655Z] The best model improves the baseline by 14.34%.
[2025-03-27T06:14:12.655Z] Top recommended movies for user id 72:
[2025-03-27T06:14:12.655Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-03-27T06:14:12.655Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-03-27T06:14:12.655Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-03-27T06:14:12.655Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-03-27T06:14:12.655Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-03-27T06:14:12.655Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (34457.845 ms) ======
[2025-03-27T06:14:12.655Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-03-27T06:14:13.339Z] GC before operation: completed in 218.110 ms, heap usage 282.581 MB -> 89.424 MB.
[2025-03-27T06:14:18.417Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-27T06:14:25.064Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-27T06:14:33.130Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-27T06:14:38.202Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-27T06:14:41.585Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-27T06:14:47.878Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-27T06:14:51.036Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-27T06:14:55.320Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-27T06:14:55.320Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2025-03-27T06:14:56.008Z] The best model improves the baseline by 14.34%.
[2025-03-27T06:14:56.008Z] Top recommended movies for user id 72:
[2025-03-27T06:14:56.008Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-03-27T06:14:56.008Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-03-27T06:14:56.008Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-03-27T06:14:56.008Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-03-27T06:14:56.008Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-03-27T06:14:56.008Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (42717.612 ms) ======
[2025-03-27T06:14:56.008Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-03-27T06:14:56.008Z] GC before operation: completed in 189.841 ms, heap usage 262.776 MB -> 89.545 MB.
[2025-03-27T06:15:01.033Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-27T06:15:06.031Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-27T06:15:12.375Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-27T06:15:19.041Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-27T06:15:23.156Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-27T06:15:26.511Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-27T06:15:30.665Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-27T06:15:33.842Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-27T06:15:34.492Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2025-03-27T06:15:34.492Z] The best model improves the baseline by 14.34%.
[2025-03-27T06:15:34.492Z] Top recommended movies for user id 72:
[2025-03-27T06:15:34.492Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-03-27T06:15:34.492Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-03-27T06:15:34.492Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-03-27T06:15:34.492Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-03-27T06:15:34.492Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-03-27T06:15:34.492Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (38808.761 ms) ======
[2025-03-27T06:15:34.492Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-03-27T06:15:35.789Z] GC before operation: completed in 335.522 ms, heap usage 144.627 MB -> 89.165 MB.
[2025-03-27T06:15:39.779Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-27T06:15:46.297Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-27T06:15:51.510Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-27T06:15:58.232Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-27T06:16:01.545Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-27T06:16:05.685Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-27T06:16:07.828Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-27T06:16:12.177Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-27T06:16:12.870Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2025-03-27T06:16:12.870Z] The best model improves the baseline by 14.34%.
[2025-03-27T06:16:12.870Z] Top recommended movies for user id 72:
[2025-03-27T06:16:12.870Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-03-27T06:16:12.870Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-03-27T06:16:12.870Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-03-27T06:16:12.870Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-03-27T06:16:12.870Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-03-27T06:16:12.870Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (37758.675 ms) ======
[2025-03-27T06:16:12.870Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-03-27T06:16:12.870Z] GC before operation: completed in 265.259 ms, heap usage 168.818 MB -> 89.372 MB.
[2025-03-27T06:16:23.769Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-27T06:16:30.147Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-27T06:16:38.324Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-27T06:16:43.406Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-27T06:16:46.437Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-27T06:16:49.559Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-27T06:16:52.724Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-27T06:16:58.229Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-27T06:17:00.914Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2025-03-27T06:17:00.914Z] The best model improves the baseline by 14.34%.
[2025-03-27T06:17:01.597Z] Top recommended movies for user id 72:
[2025-03-27T06:17:01.597Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-03-27T06:17:01.597Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-03-27T06:17:01.597Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-03-27T06:17:01.597Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-03-27T06:17:01.597Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-03-27T06:17:01.597Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (48163.707 ms) ======
[2025-03-27T06:17:01.597Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-03-27T06:17:01.597Z] GC before operation: completed in 346.454 ms, heap usage 344.301 MB -> 89.429 MB.
[2025-03-27T06:17:08.019Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-27T06:17:19.385Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-27T06:17:29.089Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-27T06:17:34.243Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-27T06:17:39.643Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-27T06:17:43.810Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-27T06:17:46.777Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-27T06:17:50.141Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-27T06:17:50.929Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2025-03-27T06:17:51.607Z] The best model improves the baseline by 14.34%.
[2025-03-27T06:17:51.607Z] Top recommended movies for user id 72:
[2025-03-27T06:17:51.607Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-03-27T06:17:51.607Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-03-27T06:17:51.607Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-03-27T06:17:51.607Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-03-27T06:17:51.607Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-03-27T06:17:51.607Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (49911.813 ms) ======
[2025-03-27T06:17:51.607Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-03-27T06:17:51.607Z] GC before operation: completed in 286.953 ms, heap usage 188.713 MB -> 89.329 MB.
[2025-03-27T06:17:58.804Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-27T06:18:04.073Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-27T06:18:12.135Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-27T06:18:17.319Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-27T06:18:21.184Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-27T06:18:25.352Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-27T06:18:28.702Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-27T06:18:33.317Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-27T06:18:34.082Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2025-03-27T06:18:34.082Z] The best model improves the baseline by 14.34%.
[2025-03-27T06:18:34.082Z] Top recommended movies for user id 72:
[2025-03-27T06:18:34.082Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-03-27T06:18:34.082Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-03-27T06:18:34.082Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-03-27T06:18:34.082Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-03-27T06:18:34.082Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-03-27T06:18:34.082Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (42442.236 ms) ======
[2025-03-27T06:18:34.082Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-03-27T06:18:34.727Z] GC before operation: completed in 291.720 ms, heap usage 393.237 MB -> 89.568 MB.
[2025-03-27T06:18:38.695Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-27T06:18:43.744Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-27T06:18:51.543Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-27T06:18:58.234Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-27T06:19:02.454Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-27T06:19:06.623Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-27T06:19:10.351Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-27T06:19:13.740Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-27T06:19:13.740Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2025-03-27T06:19:13.740Z] The best model improves the baseline by 14.34%.
[2025-03-27T06:19:14.676Z] Top recommended movies for user id 72:
[2025-03-27T06:19:14.676Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-03-27T06:19:14.676Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-03-27T06:19:14.676Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-03-27T06:19:14.676Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-03-27T06:19:14.676Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-03-27T06:19:14.676Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (39718.294 ms) ======
[2025-03-27T06:19:14.676Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-03-27T06:19:15.414Z] GC before operation: completed in 1191.249 ms, heap usage 285.858 MB -> 89.492 MB.
[2025-03-27T06:19:23.094Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-03-27T06:19:30.833Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-03-27T06:19:38.885Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-03-27T06:19:45.028Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-03-27T06:19:48.004Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-03-27T06:19:52.237Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-03-27T06:19:56.206Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-03-27T06:19:59.815Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-03-27T06:19:59.815Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9082701964919572.
[2025-03-27T06:20:00.487Z] The best model improves the baseline by 14.34%.
[2025-03-27T06:20:00.487Z] Top recommended movies for user id 72:
[2025-03-27T06:20:00.487Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-03-27T06:20:00.487Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-03-27T06:20:00.487Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-03-27T06:20:00.487Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-03-27T06:20:00.487Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-03-27T06:20:00.487Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (44885.132 ms) ======
[2025-03-27T06:20:01.932Z] -----------------------------------
[2025-03-27T06:20:01.932Z] renaissance-movie-lens_0_PASSED
[2025-03-27T06:20:01.932Z] -----------------------------------
[2025-03-27T06:20:01.932Z]
[2025-03-27T06:20:01.932Z] TEST TEARDOWN:
[2025-03-27T06:20:01.932Z] Nothing to be done for teardown.
[2025-03-27T06:20:01.932Z] renaissance-movie-lens_0 Finish Time: Thu Mar 27 06:20:01 2025 Epoch Time (ms): 1743056401524