OpenML
Supervised Classification on fri_c2_100_25

Supervised Classification on fri_c2_100_25

Task 3641 Supervised Classification fri_c2_100_25 564 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8266, f_measure: 0.7784, kappa: 0.546, kb_relative_information_score: 54.5255, mean_absolute_error: 0.2206, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7793, predictive_accuracy: 0.78, prior_entropy: 0.9864, recall: 0.78, relative_absolute_error: 0.4499, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4543, root_relative_squared_error: 0.9177, scimark_benchmark: 935.6052, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4139, kb_relative_information_score: 11.5598, mean_absolute_error: 0.43, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.3249, predictive_accuracy: 0.57, prior_entropy: 0.9864, recall: 0.57, relative_absolute_error: 0.8768, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.6557, root_relative_squared_error: 1.3245, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7152, f_measure: 0.6808, kappa: 0.3509, kb_relative_information_score: 34.6639, mean_absolute_error: 0.3175, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.6821, predictive_accuracy: 0.68, prior_entropy: 0.9864, recall: 0.68, relative_absolute_error: 0.6474, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5426, root_relative_squared_error: 1.096, scimark_benchmark: 942.6192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.82, kappa: 0.6328, kb_relative_information_score: 27.7864, mean_absolute_error: 0.3762, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.82, predictive_accuracy: 0.82, prior_entropy: 0.9864, recall: 0.82, relative_absolute_error: 0.7671, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4026, root_relative_squared_error: 0.8133, scimark_benchmark: 924.4107, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8266, f_measure: 0.8291, kappa: 0.6502, kb_relative_information_score: 38.8514, mean_absolute_error: 0.3221, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8298, predictive_accuracy: 0.83, prior_entropy: 0.9864, recall: 0.83, relative_absolute_error: 0.6567, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.7948, scimark_benchmark: 933.0918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6995, f_measure: 0.7696, kappa: 0.5295, kb_relative_information_score: 38.7447, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7695, predictive_accuracy: 0.77, prior_entropy: 0.9864, recall: 0.77, relative_absolute_error: 0.6447, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4458, root_relative_squared_error: 0.9005, scimark_benchmark: 907.1091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8054, f_measure: 0.7496, kappa: 0.4885, kb_relative_information_score: 44.5376, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7494, predictive_accuracy: 0.75, prior_entropy: 0.9864, recall: 0.75, relative_absolute_error: 0.5669, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4285, root_relative_squared_error: 0.8654, scimark_benchmark: 926.4745, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7982, f_measure: 0.74, kappa: 0.4696, kb_relative_information_score: 45.5722, mean_absolute_error: 0.2666, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.74, predictive_accuracy: 0.74, prior_entropy: 0.9864, recall: 0.74, relative_absolute_error: 0.5437, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4801, root_relative_squared_error: 0.9698, scimark_benchmark: 906.0884, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7319, f_measure: 0.7391, kappa: 0.4666, kb_relative_information_score: 46.5026, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7389, predictive_accuracy: 0.74, prior_entropy: 0.9864, recall: 0.74, relative_absolute_error: 0.5302, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0299, scimark_benchmark: 946.8777, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8197, f_measure: 0.8178, kappa: 0.6264, kb_relative_information_score: 57.3852, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8217, predictive_accuracy: 0.82, prior_entropy: 0.9864, recall: 0.82, relative_absolute_error: 0.4353, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.77, scimark_benchmark: 945.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8197, f_measure: 0.8178, kappa: 0.6264, kb_relative_information_score: 57.3852, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8217, predictive_accuracy: 0.82, prior_entropy: 0.9864, recall: 0.82, relative_absolute_error: 0.4353, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.77, scimark_benchmark: 945.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.835, f_measure: 0.8395, kappa: 0.6717, kb_relative_information_score: 46.5001, mean_absolute_error: 0.2821, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8396, predictive_accuracy: 0.84, prior_entropy: 0.9864, recall: 0.84, relative_absolute_error: 0.5752, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3758, root_relative_squared_error: 0.759, scimark_benchmark: 946.9304, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7487, f_measure: 0.7304, kappa: 0.4508, kb_relative_information_score: 31.5825, mean_absolute_error: 0.3459, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7309, predictive_accuracy: 0.73, prior_entropy: 0.9864, recall: 0.73, relative_absolute_error: 0.7053, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4555, root_relative_squared_error: 0.92, scimark_benchmark: 952.4682, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8197, f_measure: 0.8178, kappa: 0.6264, kb_relative_information_score: 57.3852, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8217, predictive_accuracy: 0.82, prior_entropy: 0.9864, recall: 0.82, relative_absolute_error: 0.4353, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.77, scimark_benchmark: 949.7766, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7956, f_measure: 0.8103, kappa: 0.6135, kb_relative_information_score: 52.704, mean_absolute_error: 0.2424, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8107, predictive_accuracy: 0.81, prior_entropy: 0.9864, recall: 0.81, relative_absolute_error: 0.4943, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4077, root_relative_squared_error: 0.8236, scimark_benchmark: 952.4682, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8851, f_measure: 0.8395, kappa: 0.6717, kb_relative_information_score: 42.6503, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8396, predictive_accuracy: 0.84, prior_entropy: 0.9864, recall: 0.84, relative_absolute_error: 0.6207, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.7359, scimark_benchmark: 946.9304, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6995, f_measure: 0.7696, kappa: 0.5295, kb_relative_information_score: 38.7447, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7695, predictive_accuracy: 0.77, prior_entropy: 0.9864, recall: 0.77, relative_absolute_error: 0.6447, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4458, root_relative_squared_error: 0.9005, scimark_benchmark: 946.9304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7319, f_measure: 0.7391, kappa: 0.4666, kb_relative_information_score: 46.5026, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7389, predictive_accuracy: 0.74, prior_entropy: 0.9864, recall: 0.74, relative_absolute_error: 0.5302, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0299, scimark_benchmark: 1337.1889, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8197, f_measure: 0.8178, kappa: 0.6264, kb_relative_information_score: 57.3852, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8217, predictive_accuracy: 0.82, prior_entropy: 0.9864, recall: 0.82, relative_absolute_error: 0.4353, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.77, scimark_benchmark: 1327.5842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.835, f_measure: 0.8395, kappa: 0.6717, kb_relative_information_score: 46.5001, mean_absolute_error: 0.2821, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8396, predictive_accuracy: 0.84, prior_entropy: 0.9864, recall: 0.84, relative_absolute_error: 0.5752, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3758, root_relative_squared_error: 0.759, scimark_benchmark: 1318.6467, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7956, f_measure: 0.8103, kappa: 0.6135, kb_relative_information_score: 52.704, mean_absolute_error: 0.2424, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8107, predictive_accuracy: 0.81, prior_entropy: 0.9864, recall: 0.81, relative_absolute_error: 0.4943, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4077, root_relative_squared_error: 0.8236, scimark_benchmark: 1318.6467, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8197, f_measure: 0.8178, kappa: 0.6264, kb_relative_information_score: 57.3852, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8217, predictive_accuracy: 0.82, prior_entropy: 0.9864, recall: 0.82, relative_absolute_error: 0.4353, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.77, scimark_benchmark: 1309.4998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8197, f_measure: 0.8178, kappa: 0.6264, kb_relative_information_score: 57.3852, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8217, predictive_accuracy: 0.82, prior_entropy: 0.9864, recall: 0.82, relative_absolute_error: 0.4353, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.77, scimark_benchmark: 1309.4998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7319, f_measure: 0.7391, kappa: 0.4666, kb_relative_information_score: 46.5026, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7389, predictive_accuracy: 0.74, prior_entropy: 0.9864, recall: 0.74, relative_absolute_error: 0.5302, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0299, scimark_benchmark: 1321.0448, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8197, f_measure: 0.8178, kappa: 0.6264, kb_relative_information_score: 57.3852, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8217, predictive_accuracy: 0.82, prior_entropy: 0.9864, recall: 0.82, relative_absolute_error: 0.4353, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.77, scimark_benchmark: 1339.2472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8197, f_measure: 0.8178, kappa: 0.6264, kb_relative_information_score: 57.3852, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8217, predictive_accuracy: 0.82, prior_entropy: 0.9864, recall: 0.82, relative_absolute_error: 0.4353, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.77, scimark_benchmark: 1336.0954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.835, f_measure: 0.8395, kappa: 0.6717, kb_relative_information_score: 46.5001, mean_absolute_error: 0.2821, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8396, predictive_accuracy: 0.84, prior_entropy: 0.9864, recall: 0.84, relative_absolute_error: 0.5752, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3758, root_relative_squared_error: 0.759, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7982, f_measure: 0.74, kappa: 0.4696, kb_relative_information_score: 45.5722, mean_absolute_error: 0.2666, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.74, predictive_accuracy: 0.74, prior_entropy: 0.9864, recall: 0.74, relative_absolute_error: 0.5437, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4801, root_relative_squared_error: 0.9698, scimark_benchmark: 1336.0954, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8197, f_measure: 0.8178, kappa: 0.6264, kb_relative_information_score: 57.3852, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8217, predictive_accuracy: 0.82, prior_entropy: 0.9864, recall: 0.82, relative_absolute_error: 0.4353, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.77, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8197, f_measure: 0.8178, kappa: 0.6264, kb_relative_information_score: 57.3852, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8217, predictive_accuracy: 0.82, prior_entropy: 0.9864, recall: 0.82, relative_absolute_error: 0.4353, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.77, scimark_benchmark: 1322.5413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.835, f_measure: 0.8395, kappa: 0.6717, kb_relative_information_score: 46.5001, mean_absolute_error: 0.2821, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8396, predictive_accuracy: 0.84, prior_entropy: 0.9864, recall: 0.84, relative_absolute_error: 0.5752, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3758, root_relative_squared_error: 0.759, scimark_benchmark: 1349.1517, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8197, f_measure: 0.8178, kappa: 0.6264, kb_relative_information_score: 57.3852, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8217, predictive_accuracy: 0.82, prior_entropy: 0.9864, recall: 0.82, relative_absolute_error: 0.4353, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.77, scimark_benchmark: 1340.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8197, f_measure: 0.8178, kappa: 0.6264, kb_relative_information_score: 57.3852, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8217, predictive_accuracy: 0.82, prior_entropy: 0.9864, recall: 0.82, relative_absolute_error: 0.4353, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.77, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.835, f_measure: 0.8395, kappa: 0.6717, kb_relative_information_score: 46.5001, mean_absolute_error: 0.2821, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8396, predictive_accuracy: 0.84, prior_entropy: 0.9864, recall: 0.84, relative_absolute_error: 0.5752, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3758, root_relative_squared_error: 0.759, scimark_benchmark: 1337.8124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8851, f_measure: 0.8395, kappa: 0.6717, kb_relative_information_score: 42.6503, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8396, predictive_accuracy: 0.84, prior_entropy: 0.9864, recall: 0.84, relative_absolute_error: 0.6207, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.7359, scimark_benchmark: 1342.6744, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8054, f_measure: 0.7496, kappa: 0.4885, kb_relative_information_score: 44.5376, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7494, predictive_accuracy: 0.75, prior_entropy: 0.9864, recall: 0.75, relative_absolute_error: 0.5669, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4285, root_relative_squared_error: 0.8654, scimark_benchmark: 1313.8988, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7319, f_measure: 0.7391, kappa: 0.4666, kb_relative_information_score: 46.5026, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7389, predictive_accuracy: 0.74, prior_entropy: 0.9864, recall: 0.74, relative_absolute_error: 0.5302, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0299, scimark_benchmark: 1303.3869, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8197, f_measure: 0.8178, kappa: 0.6264, kb_relative_information_score: 57.3852, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8217, predictive_accuracy: 0.82, prior_entropy: 0.9864, recall: 0.82, relative_absolute_error: 0.4353, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.77, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8197, f_measure: 0.8178, kappa: 0.6264, kb_relative_information_score: 57.3852, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8217, predictive_accuracy: 0.82, prior_entropy: 0.9864, recall: 0.82, relative_absolute_error: 0.4353, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.77, scimark_benchmark: 1366.7181,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8197, f_measure: 0.8178, kappa: 0.6264, kb_relative_information_score: 57.3852, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8217, predictive_accuracy: 0.82, prior_entropy: 0.9864, recall: 0.82, relative_absolute_error: 0.4353, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.77, scimark_benchmark: 1312.2688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6995, f_measure: 0.7696, kappa: 0.5295, kb_relative_information_score: 38.7447, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7695, predictive_accuracy: 0.77, prior_entropy: 0.9864, recall: 0.77, relative_absolute_error: 0.6447, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4458, root_relative_squared_error: 0.9005, scimark_benchmark: 1329.8937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6993, f_measure: 0.64, kappa: 0.2656, kb_relative_information_score: 29.2142, mean_absolute_error: 0.3445, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.64, predictive_accuracy: 0.64, prior_entropy: 0.9864, recall: 0.64, relative_absolute_error: 0.7026, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.5346, root_relative_squared_error: 1.0798, scimark_benchmark: 1059.8591, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8197, f_measure: 0.8178, kappa: 0.6264, kb_relative_information_score: 57.3852, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8217, predictive_accuracy: 0.82, prior_entropy: 0.9864, recall: 0.82, relative_absolute_error: 0.4353, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.77, scimark_benchmark: 1347.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8233, f_measure: 0.8178, kappa: 0.6264, kb_relative_information_score: 58.5263, mean_absolute_error: 0.2067, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8217, predictive_accuracy: 0.82, prior_entropy: 0.9864, recall: 0.82, relative_absolute_error: 0.4215, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3787, root_relative_squared_error: 0.765, scimark_benchmark: 1315.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8197, f_measure: 0.8178, kappa: 0.6264, kb_relative_information_score: 57.3852, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8217, predictive_accuracy: 0.82, prior_entropy: 0.9864, recall: 0.82, relative_absolute_error: 0.4353, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.77, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8197, f_measure: 0.8178, kappa: 0.6264, kb_relative_information_score: 57.3852, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8217, predictive_accuracy: 0.82, prior_entropy: 0.9864, recall: 0.82, relative_absolute_error: 0.4353, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.77, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8197, f_measure: 0.8178, kappa: 0.6264, kb_relative_information_score: 57.3852, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8217, predictive_accuracy: 0.82, prior_entropy: 0.9864, recall: 0.82, relative_absolute_error: 0.4353, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.77, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6995, f_measure: 0.7696, kappa: 0.5295, kb_relative_information_score: 38.7447, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7695, predictive_accuracy: 0.77, prior_entropy: 0.9864, recall: 0.77, relative_absolute_error: 0.6447, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4458, root_relative_squared_error: 0.9005, scimark_benchmark: 1342.6911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8233, f_measure: 0.8178, kappa: 0.6264, kb_relative_information_score: 58.5263, mean_absolute_error: 0.2067, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8217, predictive_accuracy: 0.82, prior_entropy: 0.9864, recall: 0.82, relative_absolute_error: 0.4215, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3787, root_relative_squared_error: 0.765, scimark_benchmark: 1322.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8197, f_measure: 0.8178, kappa: 0.6264, kb_relative_information_score: 57.3852, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8217, predictive_accuracy: 0.82, prior_entropy: 0.9864, recall: 0.82, relative_absolute_error: 0.4353, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.77, scimark_benchmark: 1322.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8197, f_measure: 0.8178, kappa: 0.6264, kb_relative_information_score: 57.3852, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8217, predictive_accuracy: 0.82, prior_entropy: 0.9864, recall: 0.82, relative_absolute_error: 0.4353, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.77, scimark_benchmark: 1342.6911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8197, f_measure: 0.8178, kappa: 0.6264, kb_relative_information_score: 57.3852, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.8217, predictive_accuracy: 0.82, prior_entropy: 0.9864, recall: 0.82, relative_absolute_error: 0.4353, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.77, scimark_benchmark: 1343.4596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6995, f_measure: 0.7696, kappa: 0.5295, kb_relative_information_score: 38.7447, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7695, predictive_accuracy: 0.77, prior_entropy: 0.9864, recall: 0.77, relative_absolute_error: 0.6447, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4458, root_relative_squared_error: 0.9005, scimark_benchmark: 1334.6745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7674, f_measure: 0.74, kappa: 0.4696, kb_relative_information_score: 45.8634, mean_absolute_error: 0.2644, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.74, predictive_accuracy: 0.74, prior_entropy: 0.9864, recall: 0.74, relative_absolute_error: 0.5391, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.496, root_relative_squared_error: 1.0018, scimark_benchmark: 1346.3935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8054, f_measure: 0.7496, kappa: 0.4885, kb_relative_information_score: 44.5376, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7494, predictive_accuracy: 0.75, prior_entropy: 0.9864, recall: 0.75, relative_absolute_error: 0.5669, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4285, root_relative_squared_error: 0.8654, scimark_benchmark: 1328.941, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7466, f_measure: 0.7304, kappa: 0.4508, kb_relative_information_score: 41.527, mean_absolute_error: 0.2897, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7309, predictive_accuracy: 0.73, prior_entropy: 0.9864, recall: 0.73, relative_absolute_error: 0.5908, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4793, root_relative_squared_error: 0.9682, scimark_benchmark: 1350.073, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8054, f_measure: 0.7496, kappa: 0.4885, kb_relative_information_score: 44.5376, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.7494, predictive_accuracy: 0.75, prior_entropy: 0.9864, recall: 0.75, relative_absolute_error: 0.5669, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4285, root_relative_squared_error: 0.8654, scimark_benchmark: 1345.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7982, f_measure: 0.74, kappa: 0.4696, kb_relative_information_score: 45.5722, mean_absolute_error: 0.2666, mean_prior_absolute_error: 0.4904, number_of_instances: 100, precision: 0.74, predictive_accuracy: 0.74, prior_entropy: 0.9864, recall: 0.74, relative_absolute_error: 0.5437, root_mean_prior_squared_error: 0.4951, root_mean_squared_error: 0.4801, root_relative_squared_error: 0.9698, scimark_benchmark: 916.6405, usercpu_time_millis: 20, usercpu_time_millis_training: 20,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs