OpenML
Supervised Classification on diabetes

Supervised Classification on diabetes

Task 37 Supervised Classification diabetes 131682 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_29 study_30 study_41 study_7 study_70 study_73 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7998, f_measure: 0.7446, kappa: 0.4374, kb_relative_information_score: 251.7275, mean_absolute_error: 0.307, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7444, predictive_accuracy: 0.7448, prior_entropy: 0.9335, recall: 0.7448, relative_absolute_error: 0.6754, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4202, root_relative_squared_error: 0.8816, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7255, f_measure: 0.7489, kappa: 0.4395, kb_relative_information_score: 207.5313, mean_absolute_error: 0.3422, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.748, predictive_accuracy: 0.7539, prior_entropy: 0.9335, recall: 0.7539, relative_absolute_error: 0.753, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4285, root_relative_squared_error: 0.8991, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.7482, kappa: 0.4374, kb_relative_information_score: 271.2889, mean_absolute_error: 0.2943, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7477, predictive_accuracy: 0.7539, prior_entropy: 0.9335, recall: 0.7539, relative_absolute_error: 0.6475, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4063, root_relative_squared_error: 0.8525, scimark_benchmark: 1744.8652, usercpu_time_millis: 93.75, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6725, f_measure: 0.7006, kappa: 0.3363, kb_relative_information_score: 244.9883, mean_absolute_error: 0.2975, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6988, predictive_accuracy: 0.7031, prior_entropy: 0.9335, recall: 0.7031, relative_absolute_error: 0.6545, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5441, root_relative_squared_error: 1.1415, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.7692, kappa: 0.4829, kb_relative_information_score: 255.151, mean_absolute_error: 0.3101, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.771, predictive_accuracy: 0.776, prior_entropy: 0.9335, recall: 0.776, relative_absolute_error: 0.6823, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8315, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8195, f_measure: 0.7559, kappa: 0.4543, kb_relative_information_score: 252.9225, mean_absolute_error: 0.3134, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7558, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.6895, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.8488, scimark_benchmark: 1744.8652, usercpu_time_millis: 187.5, usercpu_time_millis_training: 187.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7302, f_measure: 0.7642, kappa: 0.4744, kb_relative_information_score: 360.1638, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7634, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.01, scimark_benchmark: 1618.1738, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.7577, kappa: 0.455, kb_relative_information_score: 360.1638, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7636, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.01, scimark_benchmark: 1174.5549, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8136, f_measure: 0.7556, kappa: 0.4562, kb_relative_information_score: 278.7802, mean_absolute_error: 0.2878, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7544, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.6331, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.421, root_relative_squared_error: 0.8833, scimark_benchmark: 1346.0778, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6517, f_measure: 0.6993, kappa: 0.324, kb_relative_information_score: 261.7115, mean_absolute_error: 0.2878, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7006, predictive_accuracy: 0.7122, prior_entropy: 0.9335, recall: 0.7122, relative_absolute_error: 0.6331, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5364, root_relative_squared_error: 1.1254, scimark_benchmark: 1458.1674, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7462, f_measure: 0.7459, kappa: 0.4341, kb_relative_information_score: 249.1433, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7446, predictive_accuracy: 0.75, prior_entropy: 0.9335, recall: 0.75, relative_absolute_error: 0.6837, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.9288, scimark_benchmark: 1748.6181, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6732, f_measure: 0.7022, kappa: 0.3455, kb_relative_information_score: 243.3948, mean_absolute_error: 0.2982, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7026, predictive_accuracy: 0.7018, prior_entropy: 0.9335, recall: 0.7018, relative_absolute_error: 0.6561, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5461, root_relative_squared_error: 1.1456, scimark_benchmark: 1613.645, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, f_measure: 0.7648, kappa: 0.4785, kb_relative_information_score: 258.9245, mean_absolute_error: 0.3054, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7637, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.6719, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3968, root_relative_squared_error: 0.8325, scimark_benchmark: 1452.2677, usercpu_time_millis: 120, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6863, f_measure: 0.7177, kappa: 0.364, kb_relative_information_score: 151.985, mean_absolute_error: 0.3749, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7333, predictive_accuracy: 0.7383, prior_entropy: 0.9335, recall: 0.7383, relative_absolute_error: 0.8249, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4393, root_relative_squared_error: 0.9217, scimark_benchmark: 1456.2264, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8136, f_measure: 0.7556, kappa: 0.4562, kb_relative_information_score: 278.7802, mean_absolute_error: 0.2878, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7544, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.6331, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.421, root_relative_squared_error: 0.8833, scimark_benchmark: 1571.3044, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7937, f_measure: 0.7317, kappa: 0.4124, kb_relative_information_score: 240.5837, mean_absolute_error: 0.3124, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7332, predictive_accuracy: 0.7305, prior_entropy: 0.9335, recall: 0.7305, relative_absolute_error: 0.6873, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4137, root_relative_squared_error: 0.8679, scimark_benchmark: 1667.6868, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8312, f_measure: 0.7679, kappa: 0.4861, kb_relative_information_score: 258.8654, mean_absolute_error: 0.3054, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7669, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.6719, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.8326, scimark_benchmark: 1606.2506, usercpu_time_millis: 120, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7443, f_measure: 0.7379, kappa: 0.4147, kb_relative_information_score: 241.2932, mean_absolute_error: 0.3145, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7369, predictive_accuracy: 0.7435, prior_entropy: 0.9335, recall: 0.7435, relative_absolute_error: 0.692, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.9362, scimark_benchmark: 1500.7534, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7992, f_measure: 0.7448, kappa: 0.4383, kb_relative_information_score: 248.9873, mean_absolute_error: 0.3091, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7448, predictive_accuracy: 0.7448, prior_entropy: 0.9335, recall: 0.7448, relative_absolute_error: 0.6801, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4201, root_relative_squared_error: 0.8814, scimark_benchmark: 1717.0888, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: -0.1051, mean_absolute_error: 0.4545, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 1513.5773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6732, f_measure: 0.7022, kappa: 0.3455, kb_relative_information_score: 243.3948, mean_absolute_error: 0.2982, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7026, predictive_accuracy: 0.7018, prior_entropy: 0.9335, recall: 0.7018, relative_absolute_error: 0.6561, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5461, root_relative_squared_error: 1.1456, scimark_benchmark: 1573.1219, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6732, f_measure: 0.7022, kappa: 0.3455, kb_relative_information_score: 243.3948, mean_absolute_error: 0.2982, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7026, predictive_accuracy: 0.7018, prior_entropy: 0.9335, recall: 0.7018, relative_absolute_error: 0.6561, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5461, root_relative_squared_error: 1.1456, scimark_benchmark: 1561.9792, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7591, f_measure: 0.7411, kappa: 0.421, kb_relative_information_score: 211.4803, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7406, predictive_accuracy: 0.7474, prior_entropy: 0.9335, recall: 0.7474, relative_absolute_error: 0.7392, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.9027, scimark_benchmark: 1703.3212, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6956, f_measure: 0.7488, kappa: 0.4341, kb_relative_information_score: 360.1638, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7727, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.01, scimark_benchmark: 1489.2199, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8304, f_measure: 0.7537, kappa: 0.4453, kb_relative_information_score: 257.8518, mean_absolute_error: 0.3082, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7638, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.6781, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3993, root_relative_squared_error: 0.8378, scimark_benchmark: 1603.1579, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6655, f_measure: 0.7006, kappa: 0.3363, kb_relative_information_score: 245.6844, mean_absolute_error: 0.2969, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6988, predictive_accuracy: 0.7031, prior_entropy: 0.9335, recall: 0.7031, relative_absolute_error: 0.6532, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5449, root_relative_squared_error: 1.1431, scimark_benchmark: 1662.8995, usercpu_time_millis: 100, usercpu_time_millis_testing: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5074, f_measure: 0.5327, kappa: 0.0229, kb_relative_information_score: -128.2229, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6259, predictive_accuracy: 0.6536, prior_entropy: 0.9335, recall: 0.6536, relative_absolute_error: 1.0998, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4999, root_relative_squared_error: 1.0489, scimark_benchmark: 1539.2253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6716, f_measure: 0.7213, kappa: 0.3722, kb_relative_information_score: 305.2136, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7291, predictive_accuracy: 0.737, prior_entropy: 0.9335, recall: 0.737, relative_absolute_error: 0.5787, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5129, root_relative_squared_error: 1.076, scimark_benchmark: 1302.9996, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6037, f_measure: 0.6599, kappa: 0.2443, kb_relative_information_score: 254.8427, mean_absolute_error: 0.2917, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.715, predictive_accuracy: 0.7083, prior_entropy: 0.9335, recall: 0.7083, relative_absolute_error: 0.6417, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5401, root_relative_squared_error: 1.1331, scimark_benchmark: 1485.5126, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7346, f_measure: 0.7517, kappa: 0.4428, kb_relative_information_score: 338.924, mean_absolute_error: 0.2442, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7542, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.5373, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4719, root_relative_squared_error: 0.99, scimark_benchmark: 1439.5937, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7915, f_measure: 0.7332, kappa: 0.4007, kb_relative_information_score: 204.0891, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7356, predictive_accuracy: 0.7435, prior_entropy: 0.9335, recall: 0.7435, relative_absolute_error: 0.742, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.418, root_relative_squared_error: 0.8771, scimark_benchmark: 1344.8541, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6955, f_measure: 0.7217, kappa: 0.3918, kb_relative_information_score: 148.0748, mean_absolute_error: 0.3739, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.724, predictive_accuracy: 0.7201, prior_entropy: 0.9335, recall: 0.7201, relative_absolute_error: 0.8226, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4391, root_relative_squared_error: 0.9212, scimark_benchmark: 1514.0019, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7937, f_measure: 0.7458, kappa: 0.4309, kb_relative_information_score: 233.2306, mean_absolute_error: 0.3192, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7459, predictive_accuracy: 0.7526, prior_entropy: 0.9335, recall: 0.7526, relative_absolute_error: 0.7023, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4198, root_relative_squared_error: 0.8808, scimark_benchmark: 1615.8324, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.794, f_measure: 0.7397, kappa: 0.4168, kb_relative_information_score: 166.3541, mean_absolute_error: 0.3607, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7401, predictive_accuracy: 0.7474, prior_entropy: 0.9335, recall: 0.7474, relative_absolute_error: 0.7936, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4191, root_relative_squared_error: 0.8793, scimark_benchmark: 1522.6557, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, f_measure: 0.7399, kappa: 0.4185, kb_relative_information_score: 240.4753, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7393, predictive_accuracy: 0.7461, prior_entropy: 0.9335, recall: 0.7461, relative_absolute_error: 0.6914, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4148, root_relative_squared_error: 0.8702, scimark_benchmark: 1645.5539, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7857, f_measure: 0.7383, kappa: 0.4192, kb_relative_information_score: 308.7158, mean_absolute_error: 0.2618, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7368, predictive_accuracy: 0.7409, prior_entropy: 0.9335, recall: 0.7409, relative_absolute_error: 0.5761, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.487, root_relative_squared_error: 1.0217, scimark_benchmark: 1442.6893, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7703, f_measure: 0.7315, kappa: 0.4041, kb_relative_information_score: 269.1919, mean_absolute_error: 0.2891, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.73, predictive_accuracy: 0.7344, prior_entropy: 0.9335, recall: 0.7344, relative_absolute_error: 0.636, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4632, root_relative_squared_error: 0.9718, scimark_benchmark: 1493.1985, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.7648, kappa: 0.4751, kb_relative_information_score: 257.9267, mean_absolute_error: 0.3072, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7644, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.6759, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.8354, scimark_benchmark: 1425.4806, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7227, f_measure: 0.7523, kappa: 0.4498, kb_relative_information_score: 204.8967, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.751, predictive_accuracy: 0.7552, prior_entropy: 0.9335, recall: 0.7552, relative_absolute_error: 0.7564, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.9015, scimark_benchmark: 1384.7989, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.811, f_measure: 0.753, kappa: 0.4489, kb_relative_information_score: 244.7863, mean_absolute_error: 0.3114, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7522, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.6852, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4089, root_relative_squared_error: 0.8579, scimark_benchmark: 1380.6582, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6607, f_measure: 0.695, kappa: 0.3283, kb_relative_information_score: 231.2775, mean_absolute_error: 0.3053, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6948, predictive_accuracy: 0.6953, prior_entropy: 0.9335, recall: 0.6953, relative_absolute_error: 0.6716, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5512, root_relative_squared_error: 1.1564, scimark_benchmark: 1403.9725, usercpu_time_millis: 90, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.7303, kappa: 0.3979, kb_relative_information_score: 264.5611, mean_absolute_error: 0.2934, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7289, predictive_accuracy: 0.7357, prior_entropy: 0.9335, recall: 0.7357, relative_absolute_error: 0.6455, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.437, root_relative_squared_error: 0.9168, scimark_benchmark: 1436.4267, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7739, f_measure: 0.7237, kappa: 0.3914, kb_relative_information_score: 268.885, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7235, predictive_accuracy: 0.724, prior_entropy: 0.9335, recall: 0.724, relative_absolute_error: 0.6259, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4932, root_relative_squared_error: 1.0347, scimark_benchmark: 1493.7754, usercpu_time_millis: 5330, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 5320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8027, f_measure: 0.757, kappa: 0.4554, kb_relative_information_score: 264.981, mean_absolute_error: 0.3043, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7584, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6695, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.409, root_relative_squared_error: 0.8582, scimark_benchmark: 1391.3971, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7082, f_measure: 0.667, kappa: 0.2548, kb_relative_information_score: 169.3538, mean_absolute_error: 0.3451, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.664, predictive_accuracy: 0.6758, prior_entropy: 0.9335, recall: 0.6758, relative_absolute_error: 0.7593, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4874, root_relative_squared_error: 1.0227, scimark_benchmark: 1500.3266, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6435, f_measure: 0.675, kappa: 0.2861, kb_relative_information_score: 195.3134, mean_absolute_error: 0.3255, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6756, predictive_accuracy: 0.6745, prior_entropy: 0.9335, recall: 0.6745, relative_absolute_error: 0.7162, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5705, root_relative_squared_error: 1.197, scimark_benchmark: 1503.7572, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7678, f_measure: 0.7355, kappa: 0.4151, kb_relative_information_score: 261.8385, mean_absolute_error: 0.2945, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7344, predictive_accuracy: 0.737, prior_entropy: 0.9335, recall: 0.737, relative_absolute_error: 0.648, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4581, root_relative_squared_error: 0.9611, scimark_benchmark: 1526.2284, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7529, f_measure: 0.7174, kappa: 0.3684, kb_relative_information_score: 131.8655, mean_absolute_error: 0.3835, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.716, predictive_accuracy: 0.724, prior_entropy: 0.9335, recall: 0.724, relative_absolute_error: 0.8439, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4315, root_relative_squared_error: 0.9053, scimark_benchmark: 1406.2418, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7327, f_measure: 0.7018, kappa: 0.3409, kb_relative_information_score: 226.69, mean_absolute_error: 0.3103, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7007, predictive_accuracy: 0.7031, prior_entropy: 0.9335, recall: 0.7031, relative_absolute_error: 0.6828, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.478, root_relative_squared_error: 1.0028, scimark_benchmark: 1426.0311, usercpu_time_millis: 510, usercpu_time_millis_testing: 490, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8154, f_measure: 0.7633, kappa: 0.4716, kb_relative_information_score: 261.0176, mean_absolute_error: 0.303, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.763, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6667, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4077, root_relative_squared_error: 0.8553, scimark_benchmark: 1440.2316, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7984, f_measure: 0.7615, kappa: 0.4641, kb_relative_information_score: 237.0024, mean_absolute_error: 0.3228, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7659, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.7103, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4055, root_relative_squared_error: 0.8508, scimark_benchmark: 1615.0243, usercpu_time_millis: 310, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8174, f_measure: 0.7397, kappa: 0.4147, kb_relative_information_score: 220.286, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7445, predictive_accuracy: 0.7513, prior_entropy: 0.9335, recall: 0.7513, relative_absolute_error: 0.7229, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4059, root_relative_squared_error: 0.8516, usercpu_time_millis: 0.4, usercpu_time_millis_testing: 0.153, usercpu_time_millis_training: 0.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8174, f_measure: 0.7397, kappa: 0.4147, kb_relative_information_score: 220.286, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7445, predictive_accuracy: 0.7513, prior_entropy: 0.9335, recall: 0.7513, relative_absolute_error: 0.7229, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4059, root_relative_squared_error: 0.8516, usercpu_time_millis: 0.459, usercpu_time_millis_testing: 0.175, usercpu_time_millis_training: 0.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.781, f_measure: 0.7268, kappa: 0.3907, kb_relative_information_score: 242.6315, mean_absolute_error: 0.3058, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7252, predictive_accuracy: 0.7318, prior_entropy: 0.9335, recall: 0.7318, relative_absolute_error: 0.6729, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4349, root_relative_squared_error: 0.9125, usercpu_time_millis: 0.334, usercpu_time_millis_testing: 0.113, usercpu_time_millis_training: 0.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7283, kappa: 0.3942, kb_relative_information_score: 239.4725, mean_absolute_error: 0.3102, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7267, predictive_accuracy: 0.7331, prior_entropy: 0.9335, recall: 0.7331, relative_absolute_error: 0.6825, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4262, root_relative_squared_error: 0.8941, usercpu_time_millis: 0.29, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 0.199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8029, f_measure: 0.7361, kappa: 0.4101, kb_relative_information_score: 229.8817, mean_absolute_error: 0.32, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7352, predictive_accuracy: 0.7422, prior_entropy: 0.9335, recall: 0.7422, relative_absolute_error: 0.704, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.413, root_relative_squared_error: 0.8665, usercpu_time_millis: 0.296, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 0.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8248, f_measure: 0.7666, kappa: 0.4794, kb_relative_information_score: 266.5365, mean_absolute_error: 0.2987, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.766, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.6572, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.402, root_relative_squared_error: 0.8435, scimark_benchmark: 1389.0453, usercpu_time_millis: 1940, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7779, f_measure: 0.7285, kappa: 0.3899, kb_relative_information_score: 162.1245, mean_absolute_error: 0.367, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7312, predictive_accuracy: 0.7396, prior_entropy: 0.9335, recall: 0.7396, relative_absolute_error: 0.8075, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4215, root_relative_squared_error: 0.8844, scimark_benchmark: 1320.0067, usercpu_time_millis: 6320, usercpu_time_millis_testing: 6300, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.757, kappa: 0.4554, kb_relative_information_score: 268.8453, mean_absolute_error: 0.2993, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7584, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6585, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.404, root_relative_squared_error: 0.8475, scimark_benchmark: 1457.0764, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7054, f_measure: 0.6969, kappa: 0.3171, kb_relative_information_score: 213.2406, mean_absolute_error: 0.3234, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.711, predictive_accuracy: 0.7201, prior_entropy: 0.9335, recall: 0.7201, relative_absolute_error: 0.7116, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4633, root_relative_squared_error: 0.9721, scimark_benchmark: 1514.2562, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7972, f_measure: 0.7344, kappa: 0.4048, kb_relative_information_score: 253.9188, mean_absolute_error: 0.3007, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7345, predictive_accuracy: 0.7422, prior_entropy: 0.9335, recall: 0.7422, relative_absolute_error: 0.6615, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4205, root_relative_squared_error: 0.8821, scimark_benchmark: 1276.1443, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8214, f_measure: 0.757, kappa: 0.4554, kb_relative_information_score: 267.1471, mean_absolute_error: 0.3001, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7584, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6603, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.406, root_relative_squared_error: 0.8519, scimark_benchmark: 1438.4121, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7708, f_measure: 0.7109, kappa: 0.3552, kb_relative_information_score: 217.4307, mean_absolute_error: 0.3215, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7089, predictive_accuracy: 0.7161, prior_entropy: 0.9335, recall: 0.7161, relative_absolute_error: 0.7073, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.9209, scimark_benchmark: 1312.0019, usercpu_time_millis: 2130, usercpu_time_millis_testing: 2120, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, f_measure: 0.7656, kappa: 0.4741, kb_relative_information_score: 282.067, mean_absolute_error: 0.2917, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7684, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.6417, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.8336, scimark_benchmark: 1416.417, usercpu_time_millis: 250, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 234.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7852, f_measure: 0.7284, kappa: 0.4008, kb_relative_information_score: 169.321, mean_absolute_error: 0.3621, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7278, predictive_accuracy: 0.7292, prior_entropy: 0.9335, recall: 0.7292, relative_absolute_error: 0.7968, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4321, root_relative_squared_error: 0.9065, scimark_benchmark: 1429.848, usercpu_time_millis: 720, usercpu_time_millis_testing: 720,

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

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From your own software

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

OpenML APIs