OpenML
Supervised Classification on fri_c4_100_10

Supervised Classification on fri_c4_100_10

Task 3742 Supervised Classification fri_c4_100_10 769 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: 0.7983, f_measure: 0.7298, kappa: 0.4574, kb_relative_information_score: 37.2018, mean_absolute_error: 0.3204, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7298, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.8704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5424, f_measure: 0.3672, kb_relative_information_score: 0.7005, mean_absolute_error: 0.4955, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.2809, predictive_accuracy: 0.53, prior_entropy: 0.9975, recall: 0.53, relative_absolute_error: 0.9946, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4988, root_relative_squared_error: 0.9993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5424, f_measure: 0.3672, kb_relative_information_score: 0.7005, mean_absolute_error: 0.4955, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.2809, predictive_accuracy: 0.53, prior_entropy: 0.9975, recall: 0.53, relative_absolute_error: 0.9946, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4988, root_relative_squared_error: 0.9993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.843, f_measure: 0.7396, kappa: 0.4769, kb_relative_information_score: 40.1274, mean_absolute_error: 0.3079, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7398, predictive_accuracy: 0.74, prior_entropy: 0.9975, recall: 0.74, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4029, root_relative_squared_error: 0.8073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7326, f_measure: 0.7189, kappa: 0.4353, kb_relative_information_score: 34.5026, mean_absolute_error: 0.3371, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7201, predictive_accuracy: 0.72, prior_entropy: 0.9975, recall: 0.72, relative_absolute_error: 0.6766, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4571, root_relative_squared_error: 0.9159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7326, f_measure: 0.7189, kappa: 0.4353, kb_relative_information_score: 34.5026, mean_absolute_error: 0.3371, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7201, predictive_accuracy: 0.72, prior_entropy: 0.9975, recall: 0.72, relative_absolute_error: 0.6766, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4571, root_relative_squared_error: 0.9159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.843, f_measure: 0.7396, kappa: 0.4769, kb_relative_information_score: 40.1274, mean_absolute_error: 0.3079, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7398, predictive_accuracy: 0.74, prior_entropy: 0.9975, recall: 0.74, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4029, root_relative_squared_error: 0.8073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.7402, kappa: 0.4806, kb_relative_information_score: 32.2453, mean_absolute_error: 0.3537, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7428, predictive_accuracy: 0.74, prior_entropy: 0.9975, recall: 0.74, relative_absolute_error: 0.71, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4064, root_relative_squared_error: 0.8143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7983, f_measure: 0.7298, kappa: 0.4574, kb_relative_information_score: 37.2018, mean_absolute_error: 0.3204, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7298, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.8704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7983, f_measure: 0.7298, kappa: 0.4574, kb_relative_information_score: 37.2018, mean_absolute_error: 0.3204, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7298, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.8704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.7402, kappa: 0.4806, kb_relative_information_score: 32.2453, mean_absolute_error: 0.3537, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7428, predictive_accuracy: 0.74, prior_entropy: 0.9975, recall: 0.74, relative_absolute_error: 0.71, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4064, root_relative_squared_error: 0.8143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7326, f_measure: 0.7189, kappa: 0.4353, kb_relative_information_score: 34.5026, mean_absolute_error: 0.3371, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7201, predictive_accuracy: 0.72, prior_entropy: 0.9975, recall: 0.72, relative_absolute_error: 0.6766, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4571, root_relative_squared_error: 0.9159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.896, f_measure: 0.8099, kappa: 0.6182, kb_relative_information_score: 28.6169, mean_absolute_error: 0.3776, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8099, predictive_accuracy: 0.81, prior_entropy: 0.9975, recall: 0.81, relative_absolute_error: 0.7579, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.7402, kappa: 0.4806, kb_relative_information_score: 32.2453, mean_absolute_error: 0.3537, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7428, predictive_accuracy: 0.74, prior_entropy: 0.9975, recall: 0.74, relative_absolute_error: 0.71, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4064, root_relative_squared_error: 0.8143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.7402, kappa: 0.4806, kb_relative_information_score: 32.2453, mean_absolute_error: 0.3537, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7428, predictive_accuracy: 0.74, prior_entropy: 0.9975, recall: 0.74, relative_absolute_error: 0.71, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4064, root_relative_squared_error: 0.8143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.896, f_measure: 0.8099, kappa: 0.6182, kb_relative_information_score: 28.6169, mean_absolute_error: 0.3776, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8099, predictive_accuracy: 0.81, prior_entropy: 0.9975, recall: 0.81, relative_absolute_error: 0.7579, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5424, f_measure: 0.3672, kb_relative_information_score: 0.7005, mean_absolute_error: 0.4955, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.2809, predictive_accuracy: 0.53, prior_entropy: 0.9975, recall: 0.53, relative_absolute_error: 0.9946, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4988, root_relative_squared_error: 0.9993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7326, f_measure: 0.7189, kappa: 0.4353, kb_relative_information_score: 34.5026, mean_absolute_error: 0.3371, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7201, predictive_accuracy: 0.72, prior_entropy: 0.9975, recall: 0.72, relative_absolute_error: 0.6766, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4571, root_relative_squared_error: 0.9159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.896, f_measure: 0.8099, kappa: 0.6182, kb_relative_information_score: 28.6169, mean_absolute_error: 0.3776, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8099, predictive_accuracy: 0.81, prior_entropy: 0.9975, recall: 0.81, relative_absolute_error: 0.7579, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.896, f_measure: 0.8099, kappa: 0.6182, kb_relative_information_score: 28.6169, mean_absolute_error: 0.3776, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8099, predictive_accuracy: 0.81, prior_entropy: 0.9975, recall: 0.81, relative_absolute_error: 0.7579, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.7402, kappa: 0.4806, kb_relative_information_score: 32.2453, mean_absolute_error: 0.3537, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7428, predictive_accuracy: 0.74, prior_entropy: 0.9975, recall: 0.74, relative_absolute_error: 0.71, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4064, root_relative_squared_error: 0.8143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7983, f_measure: 0.7298, kappa: 0.4574, kb_relative_information_score: 37.2018, mean_absolute_error: 0.3204, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7298, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.8704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7021, f_measure: 0.6603, kappa: 0.3192, kb_relative_information_score: 22.4457, mean_absolute_error: 0.3967, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6611, predictive_accuracy: 0.66, prior_entropy: 0.9975, recall: 0.66, relative_absolute_error: 0.7963, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4783, root_relative_squared_error: 0.9583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.843, f_measure: 0.7396, kappa: 0.4769, kb_relative_information_score: 40.1274, mean_absolute_error: 0.3079, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7398, predictive_accuracy: 0.74, prior_entropy: 0.9975, recall: 0.74, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4029, root_relative_squared_error: 0.8073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5424, f_measure: 0.3672, kb_relative_information_score: 0.7005, mean_absolute_error: 0.4955, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.2809, predictive_accuracy: 0.53, prior_entropy: 0.9975, recall: 0.53, relative_absolute_error: 0.9946, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4988, root_relative_squared_error: 0.9993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7021, f_measure: 0.6603, kappa: 0.3192, kb_relative_information_score: 22.4457, mean_absolute_error: 0.3967, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6611, predictive_accuracy: 0.66, prior_entropy: 0.9975, recall: 0.66, relative_absolute_error: 0.7963, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4783, root_relative_squared_error: 0.9583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.843, f_measure: 0.7396, kappa: 0.4769, kb_relative_information_score: 40.1274, mean_absolute_error: 0.3079, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7398, predictive_accuracy: 0.74, prior_entropy: 0.9975, recall: 0.74, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4029, root_relative_squared_error: 0.8073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7326, f_measure: 0.7189, kappa: 0.4353, kb_relative_information_score: 34.5026, mean_absolute_error: 0.3371, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7201, predictive_accuracy: 0.72, prior_entropy: 0.9975, recall: 0.72, relative_absolute_error: 0.6766, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4571, root_relative_squared_error: 0.9159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7021, f_measure: 0.6603, kappa: 0.3192, kb_relative_information_score: 22.4457, mean_absolute_error: 0.3967, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6611, predictive_accuracy: 0.66, prior_entropy: 0.9975, recall: 0.66, relative_absolute_error: 0.7963, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4783, root_relative_squared_error: 0.9583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.843, f_measure: 0.7396, kappa: 0.4769, kb_relative_information_score: 40.1274, mean_absolute_error: 0.3079, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7398, predictive_accuracy: 0.74, prior_entropy: 0.9975, recall: 0.74, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4029, root_relative_squared_error: 0.8073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.843, f_measure: 0.7396, kappa: 0.4769, kb_relative_information_score: 40.1274, mean_absolute_error: 0.3079, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7398, predictive_accuracy: 0.74, prior_entropy: 0.9975, recall: 0.74, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4029, root_relative_squared_error: 0.8073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5424, f_measure: 0.3672, kb_relative_information_score: 0.7005, mean_absolute_error: 0.4955, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.2809, predictive_accuracy: 0.53, prior_entropy: 0.9975, recall: 0.53, relative_absolute_error: 0.9946, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4988, root_relative_squared_error: 0.9993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7021, f_measure: 0.6603, kappa: 0.3192, kb_relative_information_score: 22.4457, mean_absolute_error: 0.3967, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6611, predictive_accuracy: 0.66, prior_entropy: 0.9975, recall: 0.66, relative_absolute_error: 0.7963, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4783, root_relative_squared_error: 0.9583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7021, f_measure: 0.6603, kappa: 0.3192, kb_relative_information_score: 22.4457, mean_absolute_error: 0.3967, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6611, predictive_accuracy: 0.66, prior_entropy: 0.9975, recall: 0.66, relative_absolute_error: 0.7963, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4783, root_relative_squared_error: 0.9583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5424, f_measure: 0.3672, kb_relative_information_score: 0.7005, mean_absolute_error: 0.4955, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.2809, predictive_accuracy: 0.53, prior_entropy: 0.9975, recall: 0.53, relative_absolute_error: 0.9946, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4988, root_relative_squared_error: 0.9993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.896, f_measure: 0.8099, kappa: 0.6182, kb_relative_information_score: 28.6169, mean_absolute_error: 0.3776, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8099, predictive_accuracy: 0.81, prior_entropy: 0.9975, recall: 0.81, relative_absolute_error: 0.7579, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.896, f_measure: 0.8099, kappa: 0.6182, kb_relative_information_score: 28.6169, mean_absolute_error: 0.3776, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8099, predictive_accuracy: 0.81, prior_entropy: 0.9975, recall: 0.81, relative_absolute_error: 0.7579, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.843, f_measure: 0.7396, kappa: 0.4769, kb_relative_information_score: 40.1274, mean_absolute_error: 0.3079, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7398, predictive_accuracy: 0.74, prior_entropy: 0.9975, recall: 0.74, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4029, root_relative_squared_error: 0.8073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7021, f_measure: 0.6603, kappa: 0.3192, kb_relative_information_score: 22.4457, mean_absolute_error: 0.3967, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6611, predictive_accuracy: 0.66, prior_entropy: 0.9975, recall: 0.66, relative_absolute_error: 0.7963, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4783, root_relative_squared_error: 0.9583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7983, f_measure: 0.7298, kappa: 0.4574, kb_relative_information_score: 37.2018, mean_absolute_error: 0.3204, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7298, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.8704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7326, f_measure: 0.7189, kappa: 0.4353, kb_relative_information_score: 34.5026, mean_absolute_error: 0.3371, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7201, predictive_accuracy: 0.72, prior_entropy: 0.9975, recall: 0.72, relative_absolute_error: 0.6766, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4571, root_relative_squared_error: 0.9159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.7402, kappa: 0.4806, kb_relative_information_score: 32.2453, mean_absolute_error: 0.3537, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7428, predictive_accuracy: 0.74, prior_entropy: 0.9975, recall: 0.74, relative_absolute_error: 0.71, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4064, root_relative_squared_error: 0.8143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7983, f_measure: 0.7298, kappa: 0.4574, kb_relative_information_score: 37.2018, mean_absolute_error: 0.3204, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7298, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.8704,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.7402, kappa: 0.4806, kb_relative_information_score: 32.2453, mean_absolute_error: 0.3537, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7428, predictive_accuracy: 0.74, prior_entropy: 0.9975, recall: 0.74, relative_absolute_error: 0.71, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4064, root_relative_squared_error: 0.8143,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8079, f_measure: 0.7679, kappa: 0.5344, kb_relative_information_score: 46.4738, mean_absolute_error: 0.2735, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7735, predictive_accuracy: 0.77, prior_entropy: 0.9975, recall: 0.77, relative_absolute_error: 0.549, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4263, root_relative_squared_error: 0.8541, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7834, f_measure: 0.7668, kappa: 0.5333, kb_relative_information_score: 43.3106, mean_absolute_error: 0.2902, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7766, predictive_accuracy: 0.77, prior_entropy: 0.9975, recall: 0.77, relative_absolute_error: 0.5824, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4401, root_relative_squared_error: 0.8818, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4578, f_measure: 0.3672, kb_relative_information_score: -0.1403, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.2809, predictive_accuracy: 0.53, prior_entropy: 0.9975, recall: 0.53, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.001, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8346, f_measure: 0.759, kappa: 0.5159, kb_relative_information_score: 51.7975, mean_absolute_error: 0.2389, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7605, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.4796, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.476, root_relative_squared_error: 0.9537, scimark_benchmark: 926.5859, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8212, f_measure: 0.7389, kappa: 0.4756, kb_relative_information_score: 48.3189, mean_absolute_error: 0.2567, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7403, predictive_accuracy: 0.74, prior_entropy: 0.9975, recall: 0.74, relative_absolute_error: 0.5152, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.485, root_relative_squared_error: 0.9718, scimark_benchmark: 935.6052, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8232, f_measure: 0.7698, kappa: 0.5378, kb_relative_information_score: 51.0182, mean_absolute_error: 0.2461, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7698, predictive_accuracy: 0.77, prior_entropy: 0.9975, recall: 0.77, relative_absolute_error: 0.494, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4666, root_relative_squared_error: 0.9349, scimark_benchmark: 938.3115, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, f_measure: 0.7084, kappa: 0.4144, kb_relative_information_score: 43.1193, mean_absolute_error: 0.2836, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7104, predictive_accuracy: 0.71, prior_entropy: 0.9975, recall: 0.71, relative_absolute_error: 0.5692, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4848, root_relative_squared_error: 0.9714, scimark_benchmark: 940.0055, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8009, f_measure: 0.7202, kappa: 0.4393, kb_relative_information_score: 44.706, mean_absolute_error: 0.2759, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.721, predictive_accuracy: 0.72, prior_entropy: 0.9975, recall: 0.72, relative_absolute_error: 0.5538, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4864, root_relative_squared_error: 0.9745, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3672, kb_relative_information_score: 5.519, mean_absolute_error: 0.47, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.2809, predictive_accuracy: 0.53, prior_entropy: 0.9975, recall: 0.53, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6856, root_relative_squared_error: 1.3736, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7507, f_measure: 0.7402, kappa: 0.4794, kb_relative_information_score: 45.0151, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.741, predictive_accuracy: 0.74, prior_entropy: 0.9975, recall: 0.74, relative_absolute_error: 0.5588, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4757, root_relative_squared_error: 0.953, scimark_benchmark: 942.6192, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8306, f_measure: 0.7902, kappa: 0.58, kb_relative_information_score: 16.2236, mean_absolute_error: 0.4341, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7918, predictive_accuracy: 0.79, prior_entropy: 0.9975, recall: 0.79, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4446, root_relative_squared_error: 0.8909, scimark_benchmark: 935.8024, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.769, f_measure: 0.7402, kappa: 0.4806, kb_relative_information_score: 19.9271, mean_absolute_error: 0.4142, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7428, predictive_accuracy: 0.74, prior_entropy: 0.9975, recall: 0.74, relative_absolute_error: 0.8313, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4452, root_relative_squared_error: 0.892, scimark_benchmark: 931.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7495, f_measure: 0.7073, kappa: 0.413, kb_relative_information_score: 32.6642, mean_absolute_error: 0.3471, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7118, predictive_accuracy: 0.71, prior_entropy: 0.9975, recall: 0.71, relative_absolute_error: 0.6967, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4568, root_relative_squared_error: 0.9152, scimark_benchmark: 899.1108,

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