renaissance-movie-lens_0
[2025-11-06T02:28:31.423Z] Running test renaissance-movie-lens_0 ...
[2025-11-06T02:28:31.423Z] ===============================================
[2025-11-06T02:28:31.423Z] renaissance-movie-lens_0 Start Time: Thu Nov 6 02:28:31 2025 Epoch Time (ms): 1762396111383
[2025-11-06T02:28:31.423Z] variation: NoOptions
[2025-11-06T02:28:31.423Z] JVM_OPTIONS:
[2025-11-06T02:28:31.423Z] { \
[2025-11-06T02:28:31.423Z] echo ""; echo "TEST SETUP:"; \
[2025-11-06T02:28:31.423Z] echo "Nothing to be done for setup."; \
[2025-11-06T02:28:31.423Z] mkdir -p "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17623940021347/renaissance-movie-lens_0"; \
[2025-11-06T02:28:31.423Z] cd "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17623940021347/renaissance-movie-lens_0"; \
[2025-11-06T02:28:31.423Z] echo ""; echo "TESTING:"; \
[2025-11-06T02:28:31.423Z] "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_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_aarch64_linux/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17623940021347/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-11-06T02:28:31.423Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17623940021347/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-11-06T02:28:31.423Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-11-06T02:28:31.423Z] echo "Nothing to be done for teardown."; \
[2025-11-06T02:28:31.423Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk17_hs_extended.perf_aarch64_linux/aqa-tests/TKG/../TKG/output_17623940021347/TestTargetResult";
[2025-11-06T02:28:31.423Z]
[2025-11-06T02:28:31.423Z] TEST SETUP:
[2025-11-06T02:28:31.423Z] Nothing to be done for setup.
[2025-11-06T02:28:31.423Z]
[2025-11-06T02:28:31.423Z] TESTING:
[2025-11-06T02:28:39.226Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2025-11-06T02:28:48.830Z] 02:28:48.617 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2025-11-06T02:28:53.206Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-11-06T02:28:54.262Z] Training: 60056, validation: 20285, test: 19854
[2025-11-06T02:28:54.262Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-11-06T02:28:54.262Z] GC before operation: completed in 141.991 ms, heap usage 237.769 MB -> 75.613 MB.
[2025-11-06T02:29:06.070Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-06T02:29:11.460Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-06T02:29:16.752Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-06T02:29:20.170Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-06T02:29:22.747Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-06T02:29:25.385Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-06T02:29:27.328Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-06T02:29:30.011Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-06T02:29:30.011Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-11-06T02:29:30.011Z] The best model improves the baseline by 14.52%.
[2025-11-06T02:29:30.400Z] Top recommended movies for user id 72:
[2025-11-06T02:29:30.400Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-06T02:29:30.400Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-06T02:29:30.400Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-06T02:29:30.400Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-06T02:29:30.400Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-06T02:29:30.400Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (36064.285 ms) ======
[2025-11-06T02:29:30.400Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-11-06T02:29:30.400Z] GC before operation: completed in 133.347 ms, heap usage 493.416 MB -> 90.239 MB.
[2025-11-06T02:29:34.622Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-06T02:29:37.975Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-06T02:29:42.250Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-06T02:29:45.601Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-06T02:29:47.469Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-06T02:29:49.480Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-06T02:29:52.075Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-06T02:29:53.993Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-06T02:29:54.372Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-11-06T02:29:54.372Z] The best model improves the baseline by 14.52%.
[2025-11-06T02:29:54.755Z] Top recommended movies for user id 72:
[2025-11-06T02:29:54.755Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-06T02:29:54.755Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-06T02:29:54.755Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-06T02:29:54.755Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-06T02:29:54.755Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-06T02:29:54.755Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (24274.415 ms) ======
[2025-11-06T02:29:54.755Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-11-06T02:29:54.755Z] GC before operation: completed in 129.583 ms, heap usage 199.413 MB -> 91.583 MB.
[2025-11-06T02:29:59.115Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-06T02:30:02.569Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-06T02:30:05.206Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-06T02:30:08.548Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-06T02:30:09.903Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-06T02:30:11.821Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-06T02:30:13.761Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-06T02:30:15.667Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-06T02:30:16.047Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-11-06T02:30:16.047Z] The best model improves the baseline by 14.52%.
[2025-11-06T02:30:16.428Z] Top recommended movies for user id 72:
[2025-11-06T02:30:16.428Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-06T02:30:16.428Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-06T02:30:16.428Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-06T02:30:16.428Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-06T02:30:16.428Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-06T02:30:16.428Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (21514.728 ms) ======
[2025-11-06T02:30:16.428Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-11-06T02:30:16.428Z] GC before operation: completed in 132.612 ms, heap usage 500.730 MB -> 89.408 MB.
[2025-11-06T02:30:19.721Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-06T02:30:23.124Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-06T02:30:25.837Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-06T02:30:29.172Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-06T02:30:31.090Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-06T02:30:33.002Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-06T02:30:34.947Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-06T02:30:36.919Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-06T02:30:37.322Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-11-06T02:30:37.322Z] The best model improves the baseline by 14.52%.
[2025-11-06T02:30:37.322Z] Top recommended movies for user id 72:
[2025-11-06T02:30:37.322Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-06T02:30:37.322Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-06T02:30:37.322Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-06T02:30:37.322Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-06T02:30:37.322Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-06T02:30:37.322Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (20903.949 ms) ======
[2025-11-06T02:30:37.322Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-11-06T02:30:37.322Z] GC before operation: completed in 8.997 ms, heap usage 135.122 MB -> 135.186 MB.
[2025-11-06T02:30:40.674Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-06T02:30:44.071Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-06T02:30:47.419Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-06T02:30:50.153Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-06T02:30:52.072Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-06T02:30:53.962Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-06T02:30:55.889Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-06T02:30:58.458Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-06T02:30:58.458Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-11-06T02:30:58.861Z] The best model improves the baseline by 14.52%.
[2025-11-06T02:30:58.861Z] Top recommended movies for user id 72:
[2025-11-06T02:30:58.861Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-06T02:30:58.861Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-06T02:30:58.861Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-06T02:30:58.861Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-06T02:30:58.861Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-06T02:30:58.861Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (21443.801 ms) ======
[2025-11-06T02:30:58.861Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-11-06T02:30:59.242Z] GC before operation: completed in 138.061 ms, heap usage 154.418 MB -> 92.555 MB.
[2025-11-06T02:31:03.562Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-06T02:31:06.933Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-06T02:31:09.485Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-06T02:31:12.856Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-06T02:31:14.756Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-06T02:31:16.662Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-06T02:31:19.235Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-06T02:31:20.606Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-06T02:31:20.998Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-11-06T02:31:20.998Z] The best model improves the baseline by 14.52%.
[2025-11-06T02:31:21.393Z] Top recommended movies for user id 72:
[2025-11-06T02:31:21.393Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-06T02:31:21.393Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-06T02:31:21.393Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-06T02:31:21.393Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-06T02:31:21.393Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-06T02:31:21.393Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (22184.968 ms) ======
[2025-11-06T02:31:21.393Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-11-06T02:31:21.393Z] GC before operation: completed in 129.226 ms, heap usage 598.486 MB -> 93.283 MB.
[2025-11-06T02:31:24.717Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-06T02:31:28.052Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-06T02:31:30.636Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-06T02:31:33.954Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-06T02:31:35.860Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-06T02:31:37.186Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-06T02:31:39.110Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-06T02:31:40.998Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-06T02:31:40.998Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-11-06T02:31:40.998Z] The best model improves the baseline by 14.52%.
[2025-11-06T02:31:41.379Z] Top recommended movies for user id 72:
[2025-11-06T02:31:41.379Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-06T02:31:41.379Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-06T02:31:41.379Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-06T02:31:41.379Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-06T02:31:41.379Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-06T02:31:41.379Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (19933.717 ms) ======
[2025-11-06T02:31:41.379Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-11-06T02:31:41.379Z] GC before operation: completed in 133.284 ms, heap usage 561.004 MB -> 98.827 MB.
[2025-11-06T02:31:44.838Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-06T02:31:47.446Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-06T02:31:50.769Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-06T02:31:53.381Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-06T02:31:55.302Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-06T02:31:56.635Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-06T02:31:58.569Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-06T02:32:00.463Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-06T02:32:00.880Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-11-06T02:32:00.880Z] The best model improves the baseline by 14.52%.
[2025-11-06T02:32:00.880Z] Top recommended movies for user id 72:
[2025-11-06T02:32:00.880Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-06T02:32:00.880Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-06T02:32:00.880Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-06T02:32:00.880Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-06T02:32:00.880Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-06T02:32:00.880Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (19504.857 ms) ======
[2025-11-06T02:32:00.880Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-11-06T02:32:01.265Z] GC before operation: completed in 128.039 ms, heap usage 791.417 MB -> 93.718 MB.
[2025-11-06T02:32:04.581Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-06T02:32:07.253Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-06T02:32:10.719Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-06T02:32:13.260Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-06T02:32:15.189Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-06T02:32:17.083Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-06T02:32:19.036Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-06T02:32:20.946Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-06T02:32:20.946Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-11-06T02:32:20.946Z] The best model improves the baseline by 14.52%.
[2025-11-06T02:32:21.328Z] Top recommended movies for user id 72:
[2025-11-06T02:32:21.328Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-06T02:32:21.328Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-06T02:32:21.328Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-06T02:32:21.328Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-06T02:32:21.328Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-06T02:32:21.328Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (20161.636 ms) ======
[2025-11-06T02:32:21.328Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-11-06T02:32:21.328Z] GC before operation: completed in 129.607 ms, heap usage 149.135 MB -> 92.775 MB.
[2025-11-06T02:32:24.636Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-06T02:32:27.978Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-06T02:32:31.268Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-06T02:32:33.802Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-06T02:32:35.715Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-06T02:32:37.652Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-06T02:32:39.003Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-06T02:32:41.010Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-06T02:32:41.445Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-11-06T02:32:41.445Z] The best model improves the baseline by 14.52%.
[2025-11-06T02:32:41.445Z] Top recommended movies for user id 72:
[2025-11-06T02:32:41.445Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-06T02:32:41.445Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-06T02:32:41.445Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-06T02:32:41.445Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-06T02:32:41.445Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-06T02:32:41.445Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (20057.148 ms) ======
[2025-11-06T02:32:41.445Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-11-06T02:32:41.445Z] GC before operation: completed in 138.805 ms, heap usage 462.052 MB -> 95.779 MB.
[2025-11-06T02:32:44.747Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-06T02:32:47.391Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-06T02:32:50.719Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-06T02:32:53.285Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-06T02:32:55.218Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-06T02:32:57.170Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-06T02:32:58.498Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-06T02:33:00.470Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-06T02:33:00.870Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-11-06T02:33:00.870Z] The best model improves the baseline by 14.52%.
[2025-11-06T02:33:01.260Z] Top recommended movies for user id 72:
[2025-11-06T02:33:01.260Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-06T02:33:01.260Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-06T02:33:01.260Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-06T02:33:01.260Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-06T02:33:01.260Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-06T02:33:01.260Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (19498.971 ms) ======
[2025-11-06T02:33:01.260Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-11-06T02:33:01.260Z] GC before operation: completed in 131.156 ms, heap usage 572.653 MB -> 93.413 MB.
[2025-11-06T02:33:05.435Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-06T02:33:08.016Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-06T02:33:11.344Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-06T02:33:14.656Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-06T02:33:16.020Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-06T02:33:17.401Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-06T02:33:19.356Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-06T02:33:21.292Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-06T02:33:21.292Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-11-06T02:33:21.292Z] The best model improves the baseline by 14.52%.
[2025-11-06T02:33:21.676Z] Top recommended movies for user id 72:
[2025-11-06T02:33:21.676Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-06T02:33:21.676Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-06T02:33:21.676Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-06T02:33:21.676Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-06T02:33:21.676Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-06T02:33:21.676Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (20370.321 ms) ======
[2025-11-06T02:33:21.676Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-11-06T02:33:21.676Z] GC before operation: completed in 128.474 ms, heap usage 385.383 MB -> 93.932 MB.
[2025-11-06T02:33:25.045Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-06T02:33:27.626Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-06T02:33:30.202Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-06T02:33:32.762Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-06T02:33:34.653Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-06T02:33:36.537Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-06T02:33:38.562Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-06T02:33:40.486Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-06T02:33:40.486Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-11-06T02:33:40.486Z] The best model improves the baseline by 14.52%.
[2025-11-06T02:33:40.882Z] Top recommended movies for user id 72:
[2025-11-06T02:33:40.882Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-06T02:33:40.882Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-06T02:33:40.882Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-06T02:33:40.882Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-06T02:33:40.882Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-06T02:33:40.882Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (19011.585 ms) ======
[2025-11-06T02:33:40.882Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-11-06T02:33:40.882Z] GC before operation: completed in 127.461 ms, heap usage 129.686 MB -> 92.668 MB.
[2025-11-06T02:33:44.209Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-06T02:33:46.816Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-06T02:33:49.345Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-06T02:33:52.669Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-06T02:33:54.030Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-06T02:33:55.940Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-06T02:33:57.298Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-06T02:33:59.190Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-06T02:33:59.583Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-11-06T02:33:59.583Z] The best model improves the baseline by 14.52%.
[2025-11-06T02:33:59.583Z] Top recommended movies for user id 72:
[2025-11-06T02:33:59.583Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-06T02:33:59.583Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-06T02:33:59.583Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-06T02:33:59.583Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-06T02:33:59.583Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-06T02:33:59.583Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (18786.676 ms) ======
[2025-11-06T02:33:59.583Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-11-06T02:33:59.583Z] GC before operation: completed in 129.199 ms, heap usage 205.689 MB -> 89.788 MB.
[2025-11-06T02:34:02.910Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-06T02:34:05.601Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-06T02:34:08.146Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-06T02:34:10.735Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-06T02:34:12.671Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-06T02:34:14.593Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-06T02:34:16.518Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-06T02:34:17.860Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-06T02:34:18.260Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-11-06T02:34:18.260Z] The best model improves the baseline by 14.52%.
[2025-11-06T02:34:18.260Z] Top recommended movies for user id 72:
[2025-11-06T02:34:18.260Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-06T02:34:18.260Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-06T02:34:18.260Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-06T02:34:18.260Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-06T02:34:18.260Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-06T02:34:18.260Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (18612.070 ms) ======
[2025-11-06T02:34:18.260Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-11-06T02:34:18.663Z] GC before operation: completed in 140.351 ms, heap usage 836.562 MB -> 94.297 MB.
[2025-11-06T02:34:21.234Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-06T02:34:24.580Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-06T02:34:27.171Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-06T02:34:29.836Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-06T02:34:31.820Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-06T02:34:33.150Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-06T02:34:35.040Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-06T02:34:36.927Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-06T02:34:36.927Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-11-06T02:34:36.927Z] The best model improves the baseline by 14.52%.
[2025-11-06T02:34:37.316Z] Top recommended movies for user id 72:
[2025-11-06T02:34:37.316Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-06T02:34:37.316Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-06T02:34:37.316Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-06T02:34:37.316Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-06T02:34:37.316Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-06T02:34:37.316Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (18718.049 ms) ======
[2025-11-06T02:34:37.316Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-11-06T02:34:37.316Z] GC before operation: completed in 127.130 ms, heap usage 172.752 MB -> 91.531 MB.
[2025-11-06T02:34:40.687Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-06T02:34:44.014Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-06T02:34:47.325Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-06T02:34:49.874Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-06T02:34:51.770Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-06T02:34:53.691Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-06T02:34:55.702Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-06T02:34:57.662Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-06T02:34:57.662Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-11-06T02:34:57.662Z] The best model improves the baseline by 14.52%.
[2025-11-06T02:34:58.077Z] Top recommended movies for user id 72:
[2025-11-06T02:34:58.078Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-06T02:34:58.078Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-06T02:34:58.078Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-06T02:34:58.078Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-06T02:34:58.078Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-06T02:34:58.078Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (20498.450 ms) ======
[2025-11-06T02:34:58.078Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-11-06T02:34:58.078Z] GC before operation: completed in 125.951 ms, heap usage 314.372 MB -> 91.845 MB.
[2025-11-06T02:35:01.404Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-06T02:35:04.717Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-06T02:35:07.266Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-06T02:35:09.882Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-06T02:35:11.795Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-06T02:35:13.759Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-06T02:35:15.109Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-06T02:35:17.033Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-06T02:35:17.033Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-11-06T02:35:17.418Z] The best model improves the baseline by 14.52%.
[2025-11-06T02:35:17.418Z] Top recommended movies for user id 72:
[2025-11-06T02:35:17.418Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-06T02:35:17.418Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-06T02:35:17.418Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-06T02:35:17.418Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-06T02:35:17.418Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-06T02:35:17.418Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (19443.376 ms) ======
[2025-11-06T02:35:17.418Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-11-06T02:35:17.418Z] GC before operation: completed in 131.366 ms, heap usage 123.275 MB -> 95.696 MB.
[2025-11-06T02:35:20.880Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-06T02:35:23.450Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-06T02:35:26.012Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-06T02:35:28.566Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-06T02:35:30.449Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-06T02:35:32.390Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-06T02:35:33.728Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-06T02:35:35.709Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-06T02:35:36.117Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-11-06T02:35:36.117Z] The best model improves the baseline by 14.52%.
[2025-11-06T02:35:36.117Z] Top recommended movies for user id 72:
[2025-11-06T02:35:36.117Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-06T02:35:36.117Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-06T02:35:36.117Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-06T02:35:36.117Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-06T02:35:36.117Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-06T02:35:36.117Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (18620.409 ms) ======
[2025-11-06T02:35:36.117Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-11-06T02:35:36.500Z] GC before operation: completed in 133.746 ms, heap usage 295.395 MB -> 92.268 MB.
[2025-11-06T02:35:39.052Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-11-06T02:35:41.643Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-11-06T02:35:44.962Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-11-06T02:35:47.691Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-11-06T02:35:49.044Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-11-06T02:35:50.972Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-11-06T02:35:52.863Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-11-06T02:35:54.209Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-11-06T02:35:54.614Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-11-06T02:35:54.614Z] The best model improves the baseline by 14.52%.
[2025-11-06T02:35:54.614Z] Top recommended movies for user id 72:
[2025-11-06T02:35:54.614Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-11-06T02:35:54.614Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-11-06T02:35:54.614Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-11-06T02:35:54.614Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-11-06T02:35:54.614Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-11-06T02:35:54.614Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (18457.961 ms) ======
[2025-11-06T02:35:55.459Z] -----------------------------------
[2025-11-06T02:35:55.459Z] renaissance-movie-lens_0_PASSED
[2025-11-06T02:35:55.459Z] -----------------------------------
[2025-11-06T02:35:55.459Z]
[2025-11-06T02:35:55.459Z] TEST TEARDOWN:
[2025-11-06T02:35:55.459Z] Nothing to be done for teardown.
[2025-11-06T02:35:55.459Z] renaissance-movie-lens_0 Finish Time: Thu Nov 6 02:35:55 2025 Epoch Time (ms): 1762396555302