renaissance-movie-lens_0
[2025-05-07T14:23:59.546Z] Running test renaissance-movie-lens_0 ...
[2025-05-07T14:23:59.546Z] ===============================================
[2025-05-07T14:23:59.546Z] renaissance-movie-lens_0 Start Time: Wed May 7 10:23:59 2025 Epoch Time (ms): 1746627839198
[2025-05-07T14:23:59.546Z] variation: NoOptions
[2025-05-07T14:23:59.546Z] JVM_OPTIONS:
[2025-05-07T14:23:59.546Z] { \
[2025-05-07T14:23:59.546Z] echo ""; echo "TEST SETUP:"; \
[2025-05-07T14:23:59.546Z] echo "Nothing to be done for setup."; \
[2025-05-07T14:23:59.546Z] mkdir -p "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17466219193988/renaissance-movie-lens_0"; \
[2025-05-07T14:23:59.546Z] cd "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17466219193988/renaissance-movie-lens_0"; \
[2025-05-07T14:23:59.546Z] echo ""; echo "TESTING:"; \
[2025-05-07T14:23:59.546Z] "/home/jenkins/workspace/Test_openjdk11_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_openjdk11_hs_extended.perf_s390x_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17466219193988/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-05-07T14:23:59.546Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk11_hs_extended.perf_s390x_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17466219193988/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-05-07T14:23:59.546Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-05-07T14:23:59.546Z] echo "Nothing to be done for teardown."; \
[2025-05-07T14:23:59.546Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk11_hs_extended.perf_s390x_linux/aqa-tests/TKG/../TKG/output_17466219193988/TestTargetResult";
[2025-05-07T14:23:59.546Z]
[2025-05-07T14:23:59.546Z] TEST SETUP:
[2025-05-07T14:23:59.546Z] Nothing to be done for setup.
[2025-05-07T14:23:59.546Z]
[2025-05-07T14:23:59.546Z] TESTING:
[2025-05-07T14:24:09.295Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 2 (out of 2) threads.
[2025-05-07T14:24:28.336Z] 10:24:26.011 WARN [dispatcher-event-loop-0] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (2797 KiB). The maximum recommended task size is 1000 KiB.
[2025-05-07T14:24:32.749Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-05-07T14:24:35.344Z] Training: 60056, validation: 20285, test: 19854
[2025-05-07T14:24:35.344Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-05-07T14:24:36.080Z] GC before operation: completed in 421.232 ms, heap usage 131.882 MB -> 74.421 MB.
[2025-05-07T14:24:58.267Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-07T14:25:10.394Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-07T14:25:38.273Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-07T14:25:56.468Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-07T14:26:20.186Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-07T14:26:22.427Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-07T14:26:29.345Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-07T14:26:33.688Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-07T14:26:33.688Z] 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.
[2025-05-07T14:26:33.688Z] The best model improves the baseline by 14.34%.
[2025-05-07T14:26:34.425Z] Top recommended movies for user id 72:
[2025-05-07T14:26:34.425Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-05-07T14:26:34.425Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-05-07T14:26:34.425Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-05-07T14:26:34.425Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-05-07T14:26:34.425Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-05-07T14:26:34.425Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (118536.687 ms) ======
[2025-05-07T14:26:34.425Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-05-07T14:26:34.425Z] GC before operation: completed in 418.741 ms, heap usage 366.483 MB -> 85.132 MB.
[2025-05-07T14:26:44.865Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-07T14:26:52.864Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-07T14:27:00.549Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-07T14:27:11.767Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-07T14:27:18.908Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-07T14:27:23.544Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-07T14:27:30.893Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-07T14:27:34.096Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-07T14:27:34.805Z] 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.
[2025-05-07T14:27:34.805Z] The best model improves the baseline by 14.34%.
[2025-05-07T14:27:34.805Z] Top recommended movies for user id 72:
[2025-05-07T14:27:34.805Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-05-07T14:27:34.805Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-05-07T14:27:34.805Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-05-07T14:27:34.805Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-05-07T14:27:34.805Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-05-07T14:27:34.805Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (60219.422 ms) ======
[2025-05-07T14:27:34.805Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-05-07T14:27:35.516Z] GC before operation: completed in 642.711 ms, heap usage 351.606 MB -> 87.015 MB.
[2025-05-07T14:27:43.447Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-07T14:27:55.878Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-07T14:28:10.268Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-07T14:28:22.252Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-07T14:28:26.495Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-07T14:28:35.240Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-07T14:28:40.655Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-07T14:28:46.118Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-07T14:28:46.970Z] 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.
[2025-05-07T14:28:46.970Z] The best model improves the baseline by 14.34%.
[2025-05-07T14:28:47.843Z] Top recommended movies for user id 72:
[2025-05-07T14:28:47.843Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-05-07T14:28:47.843Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-05-07T14:28:47.843Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-05-07T14:28:47.843Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-05-07T14:28:47.843Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-05-07T14:28:47.843Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (72018.474 ms) ======
[2025-05-07T14:28:47.843Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-05-07T14:28:48.667Z] GC before operation: completed in 572.895 ms, heap usage 198.232 MB -> 89.455 MB.
[2025-05-07T14:28:56.839Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-07T14:29:05.148Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-07T14:29:17.276Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-07T14:29:30.870Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-07T14:29:35.094Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-07T14:29:40.514Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-07T14:29:44.747Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-07T14:29:47.848Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-07T14:29:48.573Z] 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.
[2025-05-07T14:29:48.573Z] The best model improves the baseline by 14.34%.
[2025-05-07T14:29:49.333Z] Top recommended movies for user id 72:
[2025-05-07T14:29:49.333Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-05-07T14:29:49.333Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-05-07T14:29:49.333Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-05-07T14:29:49.333Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-05-07T14:29:49.333Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-05-07T14:29:49.333Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (60934.206 ms) ======
[2025-05-07T14:29:49.334Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-05-07T14:29:50.045Z] GC before operation: completed in 680.643 ms, heap usage 272.775 MB -> 94.293 MB.
[2025-05-07T14:29:58.005Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-07T14:30:04.483Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-07T14:30:16.908Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-07T14:30:26.270Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-07T14:30:29.463Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-07T14:30:33.734Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-07T14:30:41.317Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-07T14:30:45.691Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-07T14:30:46.367Z] 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.
[2025-05-07T14:30:47.025Z] The best model improves the baseline by 14.34%.
[2025-05-07T14:30:47.025Z] Top recommended movies for user id 72:
[2025-05-07T14:30:47.025Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-05-07T14:30:47.025Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-05-07T14:30:47.025Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-05-07T14:30:47.025Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-05-07T14:30:47.025Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-05-07T14:30:47.025Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (57172.104 ms) ======
[2025-05-07T14:30:47.025Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-05-07T14:30:47.025Z] GC before operation: completed in 279.657 ms, heap usage 381.250 MB -> 87.806 MB.
[2025-05-07T14:30:55.012Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-07T14:31:03.026Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-07T14:31:24.226Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-07T14:31:32.899Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-07T14:31:38.442Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-07T14:31:41.704Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-07T14:31:46.045Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-07T14:31:50.448Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-07T14:31:51.989Z] 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.
[2025-05-07T14:31:51.989Z] The best model improves the baseline by 14.34%.
[2025-05-07T14:31:51.989Z] Top recommended movies for user id 72:
[2025-05-07T14:31:51.989Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-05-07T14:31:51.989Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-05-07T14:31:51.989Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-05-07T14:31:51.989Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-05-07T14:31:51.989Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-05-07T14:31:51.989Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (65010.630 ms) ======
[2025-05-07T14:31:51.989Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-05-07T14:31:52.716Z] GC before operation: completed in 223.994 ms, heap usage 100.606 MB -> 88.135 MB.
[2025-05-07T14:32:02.274Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-07T14:32:21.934Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-07T14:32:28.589Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-07T14:32:39.633Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-07T14:32:42.969Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-07T14:32:47.195Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-07T14:32:54.443Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-07T14:32:56.893Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-07T14:32:57.596Z] 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.
[2025-05-07T14:32:57.596Z] The best model improves the baseline by 14.34%.
[2025-05-07T14:32:58.594Z] Top recommended movies for user id 72:
[2025-05-07T14:32:58.594Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-05-07T14:32:58.594Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-05-07T14:32:58.594Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-05-07T14:32:58.594Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-05-07T14:32:58.594Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-05-07T14:32:58.594Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (65441.274 ms) ======
[2025-05-07T14:32:58.594Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-05-07T14:32:58.594Z] GC before operation: completed in 400.913 ms, heap usage 361.216 MB -> 87.975 MB.
[2025-05-07T14:33:09.928Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-07T14:33:21.893Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-07T14:33:40.547Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-07T14:33:51.600Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-07T14:33:54.833Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-07T14:33:58.934Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-07T14:34:04.272Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-07T14:34:11.180Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-07T14:34:11.914Z] 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.
[2025-05-07T14:34:11.914Z] The best model improves the baseline by 14.34%.
[2025-05-07T14:34:11.914Z] Top recommended movies for user id 72:
[2025-05-07T14:34:11.914Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-05-07T14:34:11.914Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-05-07T14:34:11.914Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-05-07T14:34:11.914Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-05-07T14:34:11.914Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-05-07T14:34:11.914Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (73607.562 ms) ======
[2025-05-07T14:34:11.914Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-05-07T14:34:12.734Z] GC before operation: completed in 412.904 ms, heap usage 160.667 MB -> 87.940 MB.
[2025-05-07T14:34:19.154Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-07T14:34:32.822Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-07T14:34:41.766Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-07T14:34:57.671Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-07T14:35:04.267Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-07T14:35:08.584Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-07T14:35:13.151Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-07T14:35:16.514Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-07T14:35:17.193Z] 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.
[2025-05-07T14:35:17.193Z] The best model improves the baseline by 14.34%.
[2025-05-07T14:35:17.915Z] Top recommended movies for user id 72:
[2025-05-07T14:35:17.915Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-05-07T14:35:17.915Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-05-07T14:35:17.915Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-05-07T14:35:17.915Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-05-07T14:35:17.915Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-05-07T14:35:17.915Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (65336.433 ms) ======
[2025-05-07T14:35:17.915Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-05-07T14:35:18.578Z] GC before operation: completed in 635.348 ms, heap usage 272.662 MB -> 87.967 MB.
[2025-05-07T14:35:28.223Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-07T14:35:35.984Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-07T14:35:44.574Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-07T14:35:59.898Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-07T14:36:03.183Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-07T14:36:09.140Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-07T14:36:24.771Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-07T14:36:27.968Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-07T14:36:27.968Z] 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.
[2025-05-07T14:36:27.968Z] The best model improves the baseline by 14.34%.
[2025-05-07T14:36:27.968Z] Top recommended movies for user id 72:
[2025-05-07T14:36:27.968Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-05-07T14:36:27.968Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-05-07T14:36:27.968Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-05-07T14:36:27.968Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-05-07T14:36:27.968Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-05-07T14:36:27.968Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (69812.278 ms) ======
[2025-05-07T14:36:27.968Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-05-07T14:36:28.665Z] GC before operation: completed in 314.042 ms, heap usage 194.641 MB -> 88.014 MB.
[2025-05-07T14:36:33.846Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-07T14:36:40.348Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-07T14:36:48.873Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-07T14:36:54.184Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-07T14:36:58.482Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-07T14:37:02.593Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-07T14:37:08.004Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-07T14:37:12.167Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-07T14:37:12.167Z] 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.
[2025-05-07T14:37:12.167Z] The best model improves the baseline by 14.34%.
[2025-05-07T14:37:12.834Z] Top recommended movies for user id 72:
[2025-05-07T14:37:12.834Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-05-07T14:37:12.834Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-05-07T14:37:12.834Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-05-07T14:37:12.834Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-05-07T14:37:12.834Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-05-07T14:37:12.834Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (44217.596 ms) ======
[2025-05-07T14:37:12.834Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-05-07T14:37:12.834Z] GC before operation: completed in 295.833 ms, heap usage 163.035 MB -> 87.757 MB.
[2025-05-07T14:37:20.616Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-07T14:37:30.443Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-07T14:37:38.575Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-07T14:37:45.453Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-07T14:37:52.115Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-07T14:37:56.388Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-07T14:38:00.673Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-07T14:38:03.965Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-07T14:38:04.693Z] 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.
[2025-05-07T14:38:04.693Z] The best model improves the baseline by 14.34%.
[2025-05-07T14:38:05.396Z] Top recommended movies for user id 72:
[2025-05-07T14:38:05.396Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-05-07T14:38:05.396Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-05-07T14:38:05.396Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-05-07T14:38:05.396Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-05-07T14:38:05.396Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-05-07T14:38:05.396Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (52290.768 ms) ======
[2025-05-07T14:38:05.396Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-05-07T14:38:05.396Z] GC before operation: completed in 463.887 ms, heap usage 354.008 MB -> 88.200 MB.
[2025-05-07T14:38:13.274Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-07T14:38:21.722Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-07T14:38:36.085Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-07T14:38:44.197Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-07T14:38:49.613Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-07T14:38:53.824Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-07T14:38:58.534Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-07T14:39:01.656Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-07T14:39:01.656Z] 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.
[2025-05-07T14:39:01.656Z] The best model improves the baseline by 14.34%.
[2025-05-07T14:39:02.468Z] Top recommended movies for user id 72:
[2025-05-07T14:39:02.468Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-05-07T14:39:02.468Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-05-07T14:39:02.468Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-05-07T14:39:02.468Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-05-07T14:39:02.468Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-05-07T14:39:02.468Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (56509.288 ms) ======
[2025-05-07T14:39:02.468Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-05-07T14:39:02.468Z] GC before operation: completed in 474.493 ms, heap usage 187.825 MB -> 84.215 MB.
[2025-05-07T14:39:09.002Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-07T14:39:21.313Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-07T14:39:26.534Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-07T14:39:36.072Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-07T14:39:44.835Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-07T14:39:51.624Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-07T14:39:58.574Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-07T14:40:06.854Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-07T14:40:07.588Z] 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.
[2025-05-07T14:40:07.588Z] The best model improves the baseline by 14.34%.
[2025-05-07T14:40:07.588Z] Top recommended movies for user id 72:
[2025-05-07T14:40:07.588Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-05-07T14:40:07.588Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-05-07T14:40:07.588Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-05-07T14:40:07.588Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-05-07T14:40:07.588Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-05-07T14:40:07.588Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (65031.848 ms) ======
[2025-05-07T14:40:07.588Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-05-07T14:40:08.397Z] GC before operation: completed in 415.792 ms, heap usage 119.602 MB -> 84.179 MB.
[2025-05-07T14:40:18.306Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-07T14:40:35.902Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-07T14:40:47.613Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-07T14:40:57.088Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-07T14:41:01.797Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-07T14:41:07.819Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-07T14:41:13.433Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-07T14:41:16.558Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-07T14:41:16.558Z] 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.
[2025-05-07T14:41:17.256Z] The best model improves the baseline by 14.34%.
[2025-05-07T14:41:17.256Z] Top recommended movies for user id 72:
[2025-05-07T14:41:17.256Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-05-07T14:41:17.256Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-05-07T14:41:17.256Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-05-07T14:41:17.256Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-05-07T14:41:17.256Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-05-07T14:41:17.256Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (68973.248 ms) ======
[2025-05-07T14:41:17.256Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-05-07T14:41:17.256Z] GC before operation: completed in 312.333 ms, heap usage 248.888 MB -> 84.138 MB.
[2025-05-07T14:41:23.617Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-07T14:41:36.558Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-07T14:41:42.148Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-07T14:41:53.760Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-07T14:41:57.863Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-07T14:42:04.715Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-07T14:42:09.152Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-07T14:42:14.945Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-07T14:42:14.945Z] 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.
[2025-05-07T14:42:15.621Z] The best model improves the baseline by 14.34%.
[2025-05-07T14:42:15.621Z] Top recommended movies for user id 72:
[2025-05-07T14:42:15.621Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-05-07T14:42:15.621Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-05-07T14:42:15.621Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-05-07T14:42:15.622Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-05-07T14:42:15.622Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-05-07T14:42:15.622Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (58129.011 ms) ======
[2025-05-07T14:42:15.622Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-05-07T14:42:15.622Z] GC before operation: completed in 373.655 ms, heap usage 212.534 MB -> 83.476 MB.
[2025-05-07T14:42:23.497Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-07T14:42:32.912Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-07T14:42:43.271Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-07T14:42:49.020Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-07T14:42:54.757Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-07T14:42:57.979Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-07T14:43:04.055Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-07T14:43:09.609Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-07T14:43:10.324Z] 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.
[2025-05-07T14:43:10.324Z] The best model improves the baseline by 14.34%.
[2025-05-07T14:43:10.324Z] Top recommended movies for user id 72:
[2025-05-07T14:43:10.324Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-05-07T14:43:10.324Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-05-07T14:43:10.324Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-05-07T14:43:10.324Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-05-07T14:43:10.324Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-05-07T14:43:10.324Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (54595.044 ms) ======
[2025-05-07T14:43:10.324Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-05-07T14:43:11.046Z] GC before operation: completed in 332.775 ms, heap usage 187.272 MB -> 83.385 MB.
[2025-05-07T14:43:17.590Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-07T14:43:24.515Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-07T14:43:29.923Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-07T14:43:37.700Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-07T14:43:40.961Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-07T14:43:45.045Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-07T14:43:48.199Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-07T14:43:51.423Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-07T14:43:52.143Z] 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.
[2025-05-07T14:43:52.143Z] The best model improves the baseline by 14.34%.
[2025-05-07T14:43:52.143Z] Top recommended movies for user id 72:
[2025-05-07T14:43:52.143Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-05-07T14:43:52.143Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-05-07T14:43:52.143Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-05-07T14:43:52.143Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-05-07T14:43:52.143Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-05-07T14:43:52.143Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (41293.910 ms) ======
[2025-05-07T14:43:52.143Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-05-07T14:43:52.974Z] GC before operation: completed in 346.041 ms, heap usage 271.816 MB -> 83.397 MB.
[2025-05-07T14:44:01.189Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-07T14:44:16.124Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-07T14:44:24.225Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-07T14:44:34.210Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-07T14:44:41.394Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-07T14:44:46.806Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-07T14:44:52.904Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-07T14:44:57.013Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-07T14:44:57.742Z] 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.
[2025-05-07T14:44:57.742Z] The best model improves the baseline by 14.34%.
[2025-05-07T14:44:57.742Z] Top recommended movies for user id 72:
[2025-05-07T14:44:57.742Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-05-07T14:44:57.742Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-05-07T14:44:57.742Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-05-07T14:44:57.742Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-05-07T14:44:57.742Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-05-07T14:44:57.742Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (65347.628 ms) ======
[2025-05-07T14:44:57.742Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-05-07T14:44:58.503Z] GC before operation: completed in 329.054 ms, heap usage 165.534 MB -> 83.356 MB.
[2025-05-07T14:45:04.921Z] RMSE (validation) = 3.621968954548762 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-05-07T14:45:17.070Z] RMSE (validation) = 2.134092321459638 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-05-07T14:45:25.006Z] RMSE (validation) = 1.3105186097961345 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-05-07T14:45:33.432Z] RMSE (validation) = 1.0039112263869625 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-05-07T14:45:39.479Z] RMSE (validation) = 1.2279489569306759 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-05-07T14:45:44.026Z] RMSE (validation) = 1.1317743270958185 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-05-07T14:45:49.648Z] RMSE (validation) = 0.9270299248067019 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-05-07T14:45:52.865Z] RMSE (validation) = 0.8979370339906045 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-05-07T14:45:53.619Z] 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.
[2025-05-07T14:45:53.619Z] The best model improves the baseline by 14.34%.
[2025-05-07T14:45:54.293Z] Top recommended movies for user id 72:
[2025-05-07T14:45:54.293Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.687, id: 67504)
[2025-05-07T14:45:54.293Z] 2: Goat, The (1921) (rating: 4.687, id: 83318)
[2025-05-07T14:45:54.293Z] 3: Play House, The (1921) (rating: 4.687, id: 83359)
[2025-05-07T14:45:54.293Z] 4: Cops (1922) (rating: 4.687, id: 83411)
[2025-05-07T14:45:54.293Z] 5: Dear Frankie (2004) (rating: 4.297, id: 8530)
[2025-05-07T14:45:54.293Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (55932.608 ms) ======
[2025-05-07T14:45:55.942Z] -----------------------------------
[2025-05-07T14:45:55.942Z] renaissance-movie-lens_0_PASSED
[2025-05-07T14:45:55.942Z] -----------------------------------
[2025-05-07T14:45:55.942Z]
[2025-05-07T14:45:55.942Z] TEST TEARDOWN:
[2025-05-07T14:45:55.942Z] Nothing to be done for teardown.
[2025-05-07T14:45:56.663Z] renaissance-movie-lens_0 Finish Time: Wed May 7 10:45:55 2025 Epoch Time (ms): 1746629155942