renaissance-movie-lens_0
[2025-08-21T01:15:55.029Z] Running test renaissance-movie-lens_0 ...
[2025-08-21T01:15:55.029Z] ===============================================
[2025-08-21T01:15:55.029Z] renaissance-movie-lens_0 Start Time: Thu Aug 21 01:15:54 2025 Epoch Time (ms): 1755738954854
[2025-08-21T01:15:55.029Z] variation: NoOptions
[2025-08-21T01:15:55.029Z] JVM_OPTIONS:
[2025-08-21T01:15:55.029Z] { \
[2025-08-21T01:15:55.029Z] echo ""; echo "TEST SETUP:"; \
[2025-08-21T01:15:55.029Z] echo "Nothing to be done for setup."; \
[2025-08-21T01:15:55.029Z] mkdir -p "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux_testList_1/aqa-tests/TKG/../TKG/output_17557377207327/renaissance-movie-lens_0"; \
[2025-08-21T01:15:55.029Z] cd "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux_testList_1/aqa-tests/TKG/../TKG/output_17557377207327/renaissance-movie-lens_0"; \
[2025-08-21T01:15:55.029Z] echo ""; echo "TESTING:"; \
[2025-08-21T01:15:55.029Z] "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux_testList_1/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_openjdk21_hs_extended.perf_aarch64_linux_testList_1/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux_testList_1/aqa-tests/TKG/../TKG/output_17557377207327/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2025-08-21T01:15:55.029Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux_testList_1/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux_testList_1/aqa-tests/TKG/../TKG/output_17557377207327/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2025-08-21T01:15:55.029Z] echo ""; echo "TEST TEARDOWN:"; \
[2025-08-21T01:15:55.029Z] echo "Nothing to be done for teardown."; \
[2025-08-21T01:15:55.029Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk21_hs_extended.perf_aarch64_linux_testList_1/aqa-tests/TKG/../TKG/output_17557377207327/TestTargetResult";
[2025-08-21T01:15:55.029Z]
[2025-08-21T01:15:55.029Z] TEST SETUP:
[2025-08-21T01:15:55.029Z] Nothing to be done for setup.
[2025-08-21T01:15:55.029Z]
[2025-08-21T01:15:55.029Z] TESTING:
[2025-08-21T01:16:02.846Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2025-08-21T01:16:12.423Z] 01:16:12.011 WARN [dispatcher-event-loop-3] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2025-08-21T01:16:15.842Z] Got 100004 ratings from 671 users on 9066 movies.
[2025-08-21T01:16:15.842Z] Training: 60056, validation: 20285, test: 19854
[2025-08-21T01:16:16.281Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2025-08-21T01:16:16.281Z] GC before operation: completed in 133.828 ms, heap usage 256.220 MB -> 75.955 MB.
[2025-08-21T01:16:24.411Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-21T01:16:29.726Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-21T01:16:34.992Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-21T01:16:39.243Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-21T01:16:41.195Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-21T01:16:43.830Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-21T01:16:46.457Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-21T01:16:48.388Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-21T01:16:48.944Z] 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.
[2025-08-21T01:16:48.944Z] The best model improves the baseline by 14.52%.
[2025-08-21T01:16:49.395Z] Top recommended movies for user id 72:
[2025-08-21T01:16:49.395Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-21T01:16:49.395Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-21T01:16:49.395Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-21T01:16:49.395Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-21T01:16:49.395Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-21T01:16:49.395Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (32915.805 ms) ======
[2025-08-21T01:16:49.395Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2025-08-21T01:16:49.395Z] GC before operation: completed in 159.110 ms, heap usage 456.121 MB -> 89.981 MB.
[2025-08-21T01:16:52.699Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-21T01:16:56.947Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-21T01:17:00.353Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-21T01:17:03.748Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-21T01:17:05.707Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-21T01:17:07.645Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-21T01:17:09.605Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-21T01:17:12.205Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-21T01:17:12.205Z] 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.
[2025-08-21T01:17:12.205Z] The best model improves the baseline by 14.52%.
[2025-08-21T01:17:12.205Z] Top recommended movies for user id 72:
[2025-08-21T01:17:12.205Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-21T01:17:12.205Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-21T01:17:12.205Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-21T01:17:12.205Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-21T01:17:12.205Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-21T01:17:12.205Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (23076.180 ms) ======
[2025-08-21T01:17:12.205Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2025-08-21T01:17:12.589Z] GC before operation: completed in 144.623 ms, heap usage 500.216 MB -> 89.107 MB.
[2025-08-21T01:17:15.965Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-21T01:17:19.301Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-21T01:17:22.629Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-21T01:17:25.228Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-21T01:17:27.161Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-21T01:17:29.043Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-21T01:17:31.615Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-21T01:17:33.683Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-21T01:17:33.683Z] 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.
[2025-08-21T01:17:33.683Z] The best model improves the baseline by 14.52%.
[2025-08-21T01:17:33.683Z] Top recommended movies for user id 72:
[2025-08-21T01:17:33.683Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-21T01:17:33.683Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-21T01:17:33.683Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-21T01:17:33.683Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-21T01:17:33.683Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-21T01:17:33.683Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (21229.492 ms) ======
[2025-08-21T01:17:33.683Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2025-08-21T01:17:33.683Z] GC before operation: completed in 158.354 ms, heap usage 363.376 MB -> 89.719 MB.
[2025-08-21T01:17:37.015Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-21T01:17:40.377Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-21T01:17:42.995Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-21T01:17:46.316Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-21T01:17:48.908Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-21T01:17:50.919Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-21T01:17:52.849Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-21T01:17:54.760Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-21T01:17:54.760Z] 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.
[2025-08-21T01:17:55.151Z] The best model improves the baseline by 14.52%.
[2025-08-21T01:17:55.151Z] Top recommended movies for user id 72:
[2025-08-21T01:17:55.151Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-21T01:17:55.151Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-21T01:17:55.151Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-21T01:17:55.151Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-21T01:17:55.151Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-21T01:17:55.151Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (21296.465 ms) ======
[2025-08-21T01:17:55.151Z] ====== movie-lens (apache-spark) [default], iteration 4 started ======
[2025-08-21T01:17:55.151Z] GC before operation: completed in 138.707 ms, heap usage 403.471 MB -> 90.016 MB.
[2025-08-21T01:17:58.489Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-21T01:18:01.826Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-21T01:18:06.096Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-21T01:18:08.671Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-21T01:18:10.631Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-21T01:18:12.564Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-21T01:18:15.163Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-21T01:18:16.523Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-21T01:18:16.912Z] 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.
[2025-08-21T01:18:16.912Z] The best model improves the baseline by 14.52%.
[2025-08-21T01:18:17.295Z] Top recommended movies for user id 72:
[2025-08-21T01:18:17.295Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-21T01:18:17.295Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-21T01:18:17.295Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-21T01:18:17.295Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-21T01:18:17.295Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-21T01:18:17.295Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (22006.966 ms) ======
[2025-08-21T01:18:17.295Z] ====== movie-lens (apache-spark) [default], iteration 5 started ======
[2025-08-21T01:18:17.295Z] GC before operation: completed in 152.501 ms, heap usage 375.289 MB -> 90.016 MB.
[2025-08-21T01:18:20.759Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-21T01:18:24.103Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-21T01:18:26.715Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-21T01:18:30.032Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-21T01:18:31.938Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-21T01:18:33.879Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-21T01:18:35.814Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-21T01:18:37.750Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-21T01:18:37.750Z] 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.
[2025-08-21T01:18:37.750Z] The best model improves the baseline by 14.52%.
[2025-08-21T01:18:38.140Z] Top recommended movies for user id 72:
[2025-08-21T01:18:38.140Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-21T01:18:38.140Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-21T01:18:38.140Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-21T01:18:38.140Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-21T01:18:38.140Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-21T01:18:38.140Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (20724.650 ms) ======
[2025-08-21T01:18:38.140Z] ====== movie-lens (apache-spark) [default], iteration 6 started ======
[2025-08-21T01:18:38.524Z] GC before operation: completed in 163.416 ms, heap usage 294.682 MB -> 90.117 MB.
[2025-08-21T01:18:41.168Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-21T01:18:44.507Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-21T01:18:47.908Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-21T01:18:50.472Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-21T01:18:52.375Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-21T01:18:54.395Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-21T01:18:56.327Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-21T01:18:58.238Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-21T01:18:58.238Z] 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.
[2025-08-21T01:18:58.238Z] The best model improves the baseline by 14.52%.
[2025-08-21T01:18:58.629Z] Top recommended movies for user id 72:
[2025-08-21T01:18:58.629Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-21T01:18:58.629Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-21T01:18:58.629Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-21T01:18:58.629Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-21T01:18:58.629Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-21T01:18:58.629Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (20295.821 ms) ======
[2025-08-21T01:18:58.629Z] ====== movie-lens (apache-spark) [default], iteration 7 started ======
[2025-08-21T01:18:58.629Z] GC before operation: completed in 152.364 ms, heap usage 297.637 MB -> 90.048 MB.
[2025-08-21T01:19:01.967Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-21T01:19:04.661Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-21T01:19:08.047Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-21T01:19:11.405Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-21T01:19:12.731Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-21T01:19:14.640Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-21T01:19:16.571Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-21T01:19:18.493Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-21T01:19:18.876Z] 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.
[2025-08-21T01:19:18.876Z] The best model improves the baseline by 14.52%.
[2025-08-21T01:19:19.259Z] Top recommended movies for user id 72:
[2025-08-21T01:19:19.259Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-21T01:19:19.259Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-21T01:19:19.259Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-21T01:19:19.259Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-21T01:19:19.259Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-21T01:19:19.259Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (20440.980 ms) ======
[2025-08-21T01:19:19.259Z] ====== movie-lens (apache-spark) [default], iteration 8 started ======
[2025-08-21T01:19:19.259Z] GC before operation: completed in 150.120 ms, heap usage 425.272 MB -> 90.368 MB.
[2025-08-21T01:19:22.574Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-21T01:19:25.169Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-21T01:19:28.465Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-21T01:19:31.767Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-21T01:19:33.704Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-21T01:19:35.085Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-21T01:19:37.012Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-21T01:19:38.932Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-21T01:19:39.328Z] 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.
[2025-08-21T01:19:39.328Z] The best model improves the baseline by 14.52%.
[2025-08-21T01:19:39.716Z] Top recommended movies for user id 72:
[2025-08-21T01:19:39.716Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-21T01:19:39.716Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-21T01:19:39.716Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-21T01:19:39.716Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-21T01:19:39.716Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-21T01:19:39.716Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (20277.034 ms) ======
[2025-08-21T01:19:39.716Z] ====== movie-lens (apache-spark) [default], iteration 9 started ======
[2025-08-21T01:19:39.716Z] GC before operation: completed in 144.930 ms, heap usage 97.519 MB -> 93.761 MB.
[2025-08-21T01:19:43.067Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-21T01:19:45.836Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-21T01:19:49.136Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-21T01:19:52.486Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-21T01:19:53.838Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-21T01:19:55.728Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-21T01:19:57.610Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-21T01:19:59.546Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-21T01:19:59.546Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-08-21T01:19:59.546Z] The best model improves the baseline by 14.52%.
[2025-08-21T01:19:59.930Z] Top recommended movies for user id 72:
[2025-08-21T01:19:59.930Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-21T01:19:59.930Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-21T01:19:59.930Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-21T01:19:59.930Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-21T01:19:59.930Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-21T01:19:59.930Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (20027.187 ms) ======
[2025-08-21T01:19:59.930Z] ====== movie-lens (apache-spark) [default], iteration 10 started ======
[2025-08-21T01:19:59.930Z] GC before operation: completed in 143.803 ms, heap usage 255.916 MB -> 90.280 MB.
[2025-08-21T01:20:03.292Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-21T01:20:05.916Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-21T01:20:09.244Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-21T01:20:11.842Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-21T01:20:13.845Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-21T01:20:15.753Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-21T01:20:17.660Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-21T01:20:19.611Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-21T01:20:20.031Z] 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.
[2025-08-21T01:20:20.031Z] The best model improves the baseline by 14.52%.
[2025-08-21T01:20:20.422Z] Top recommended movies for user id 72:
[2025-08-21T01:20:20.422Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-21T01:20:20.422Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-21T01:20:20.422Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-21T01:20:20.422Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-21T01:20:20.422Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-21T01:20:20.422Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (20288.460 ms) ======
[2025-08-21T01:20:20.422Z] ====== movie-lens (apache-spark) [default], iteration 11 started ======
[2025-08-21T01:20:20.422Z] GC before operation: completed in 139.257 ms, heap usage 306.207 MB -> 90.100 MB.
[2025-08-21T01:20:23.759Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-21T01:20:26.435Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-21T01:20:29.862Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-21T01:20:32.434Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-21T01:20:34.334Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-21T01:20:36.274Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-21T01:20:38.194Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-21T01:20:40.103Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-21T01:20:40.103Z] 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.
[2025-08-21T01:20:40.103Z] The best model improves the baseline by 14.52%.
[2025-08-21T01:20:40.486Z] Top recommended movies for user id 72:
[2025-08-21T01:20:40.486Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-21T01:20:40.486Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-21T01:20:40.486Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-21T01:20:40.486Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-21T01:20:40.486Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-21T01:20:40.486Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (20032.156 ms) ======
[2025-08-21T01:20:40.486Z] ====== movie-lens (apache-spark) [default], iteration 12 started ======
[2025-08-21T01:20:40.486Z] GC before operation: completed in 139.471 ms, heap usage 293.739 MB -> 90.323 MB.
[2025-08-21T01:20:43.833Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-21T01:20:46.460Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-21T01:20:49.012Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-21T01:20:52.345Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-21T01:20:53.674Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-21T01:20:55.587Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-21T01:20:57.473Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-21T01:20:59.395Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-21T01:20:59.395Z] 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.
[2025-08-21T01:20:59.395Z] The best model improves the baseline by 14.52%.
[2025-08-21T01:20:59.816Z] Top recommended movies for user id 72:
[2025-08-21T01:20:59.816Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-21T01:20:59.816Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-21T01:20:59.816Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-21T01:20:59.816Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-21T01:20:59.816Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-21T01:20:59.816Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (19091.861 ms) ======
[2025-08-21T01:20:59.816Z] ====== movie-lens (apache-spark) [default], iteration 13 started ======
[2025-08-21T01:20:59.816Z] GC before operation: completed in 140.468 ms, heap usage 541.285 MB -> 90.739 MB.
[2025-08-21T01:21:03.152Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-21T01:21:05.818Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-21T01:21:08.401Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-21T01:21:10.970Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-21T01:21:12.873Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-21T01:21:14.353Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-21T01:21:16.265Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-21T01:21:18.205Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-21T01:21:18.205Z] 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.
[2025-08-21T01:21:18.593Z] The best model improves the baseline by 14.52%.
[2025-08-21T01:21:18.593Z] Top recommended movies for user id 72:
[2025-08-21T01:21:18.593Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-21T01:21:18.593Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-21T01:21:18.593Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-21T01:21:18.593Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-21T01:21:18.593Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-21T01:21:18.593Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (18788.361 ms) ======
[2025-08-21T01:21:18.593Z] ====== movie-lens (apache-spark) [default], iteration 14 started ======
[2025-08-21T01:21:18.593Z] GC before operation: completed in 135.928 ms, heap usage 191.383 MB -> 90.089 MB.
[2025-08-21T01:21:21.896Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-21T01:21:25.267Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-21T01:21:27.832Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-21T01:21:31.128Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-21T01:21:33.041Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-21T01:21:34.377Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-21T01:21:36.323Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-21T01:21:38.214Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-21T01:21:38.612Z] 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.
[2025-08-21T01:21:38.612Z] The best model improves the baseline by 14.52%.
[2025-08-21T01:21:38.996Z] Top recommended movies for user id 72:
[2025-08-21T01:21:38.996Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-21T01:21:38.996Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-21T01:21:38.996Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-21T01:21:38.996Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-21T01:21:38.996Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-21T01:21:38.996Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (20228.913 ms) ======
[2025-08-21T01:21:38.996Z] ====== movie-lens (apache-spark) [default], iteration 15 started ======
[2025-08-21T01:21:38.996Z] GC before operation: completed in 148.283 ms, heap usage 294.636 MB -> 90.529 MB.
[2025-08-21T01:21:42.567Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-21T01:21:45.153Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-21T01:21:47.865Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-21T01:21:51.204Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-21T01:21:52.558Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-21T01:21:54.457Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-21T01:21:57.076Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-21T01:21:58.422Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-21T01:21:58.834Z] 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.
[2025-08-21T01:21:58.834Z] The best model improves the baseline by 14.52%.
[2025-08-21T01:21:58.834Z] Top recommended movies for user id 72:
[2025-08-21T01:21:58.834Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-21T01:21:58.834Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-21T01:21:58.834Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-21T01:21:58.834Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-21T01:21:58.834Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-21T01:21:58.834Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (19908.441 ms) ======
[2025-08-21T01:21:58.834Z] ====== movie-lens (apache-spark) [default], iteration 16 started ======
[2025-08-21T01:21:59.235Z] GC before operation: completed in 143.451 ms, heap usage 541.261 MB -> 90.627 MB.
[2025-08-21T01:22:02.553Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-21T01:22:05.148Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-21T01:22:08.502Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-21T01:22:11.093Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-21T01:22:13.135Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-21T01:22:15.081Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-21T01:22:17.018Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-21T01:22:18.366Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-21T01:22:18.763Z] 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.
[2025-08-21T01:22:18.763Z] The best model improves the baseline by 14.52%.
[2025-08-21T01:22:19.162Z] Top recommended movies for user id 72:
[2025-08-21T01:22:19.162Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-21T01:22:19.162Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-21T01:22:19.162Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-21T01:22:19.162Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-21T01:22:19.162Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-21T01:22:19.162Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (19906.402 ms) ======
[2025-08-21T01:22:19.162Z] ====== movie-lens (apache-spark) [default], iteration 17 started ======
[2025-08-21T01:22:19.162Z] GC before operation: completed in 142.560 ms, heap usage 427.297 MB -> 90.533 MB.
[2025-08-21T01:22:22.496Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-21T01:22:25.070Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-21T01:22:28.459Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-21T01:22:31.028Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-21T01:22:33.598Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-21T01:22:34.938Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-21T01:22:36.845Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-21T01:22:38.936Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-21T01:22:38.936Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611.
[2025-08-21T01:22:38.936Z] The best model improves the baseline by 14.52%.
[2025-08-21T01:22:39.322Z] Top recommended movies for user id 72:
[2025-08-21T01:22:39.322Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-21T01:22:39.322Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-21T01:22:39.322Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-21T01:22:39.322Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-21T01:22:39.322Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-21T01:22:39.322Z] ====== movie-lens (apache-spark) [default], iteration 17 completed (20060.584 ms) ======
[2025-08-21T01:22:39.322Z] ====== movie-lens (apache-spark) [default], iteration 18 started ======
[2025-08-21T01:22:39.322Z] GC before operation: completed in 154.648 ms, heap usage 112.797 MB -> 90.015 MB.
[2025-08-21T01:22:42.660Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-21T01:22:45.224Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-21T01:22:48.616Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-21T01:22:51.195Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-21T01:22:53.080Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-21T01:22:55.024Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-21T01:22:56.925Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-21T01:22:58.871Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-21T01:22:59.283Z] 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.
[2025-08-21T01:22:59.283Z] The best model improves the baseline by 14.52%.
[2025-08-21T01:22:59.283Z] Top recommended movies for user id 72:
[2025-08-21T01:22:59.283Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-21T01:22:59.283Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-21T01:22:59.283Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-21T01:22:59.283Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-21T01:22:59.283Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-21T01:22:59.283Z] ====== movie-lens (apache-spark) [default], iteration 18 completed (19942.358 ms) ======
[2025-08-21T01:22:59.283Z] ====== movie-lens (apache-spark) [default], iteration 19 started ======
[2025-08-21T01:22:59.683Z] GC before operation: completed in 141.114 ms, heap usage 295.099 MB -> 90.398 MB.
[2025-08-21T01:23:02.294Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2025-08-21T01:23:05.622Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2025-08-21T01:23:08.260Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2025-08-21T01:23:11.683Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2025-08-21T01:23:13.010Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2025-08-21T01:23:14.952Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2025-08-21T01:23:16.882Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2025-08-21T01:23:18.822Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2025-08-21T01:23:19.218Z] 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.
[2025-08-21T01:23:19.218Z] The best model improves the baseline by 14.52%.
[2025-08-21T01:23:19.218Z] Top recommended movies for user id 72:
[2025-08-21T01:23:19.218Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2025-08-21T01:23:19.218Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2025-08-21T01:23:19.218Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2025-08-21T01:23:19.218Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2025-08-21T01:23:19.218Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2025-08-21T01:23:19.218Z] ====== movie-lens (apache-spark) [default], iteration 19 completed (19849.681 ms) ======
[2025-08-21T01:23:20.043Z] -----------------------------------
[2025-08-21T01:23:20.043Z] renaissance-movie-lens_0_PASSED
[2025-08-21T01:23:20.043Z] -----------------------------------
[2025-08-21T01:23:20.043Z]
[2025-08-21T01:23:20.043Z] TEST TEARDOWN:
[2025-08-21T01:23:20.043Z] Nothing to be done for teardown.
[2025-08-21T01:23:20.043Z] renaissance-movie-lens_0 Finish Time: Thu Aug 21 01:23:19 2025 Epoch Time (ms): 1755739399800