OpenML
Supervised Classification on heart-c

Supervised Classification on heart-c

Task 48 Supervised Classification heart-c 665 runs submitted
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  • basic study_1 study_107 study_41 study_50 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8461, f_measure: 0.8367, kappa: 0.6703, kb_relative_information_score: 146.0013, mean_absolute_error: 0.1032, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.842, predictive_accuracy: 0.8383, prior_entropy: 1.0792, recall: 0.8383, relative_absolute_error: 0.515, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2421, root_relative_squared_error: 0.7686, scimark_benchmark: 943.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.838, kappa: 0.673, kb_relative_information_score: 175.9119, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8382, predictive_accuracy: 0.8383, prior_entropy: 1.0792, recall: 0.8383, relative_absolute_error: 0.3888, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.7217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9079, f_measure: 0.8277, kappa: 0.652, kb_relative_information_score: 167.9943, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8288, predictive_accuracy: 0.8284, prior_entropy: 1.0792, recall: 0.8284, relative_absolute_error: 0.4229, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.7133, scimark_benchmark: 938.7879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8146, f_measure: 0.8071, kappa: 0.6104, kb_relative_information_score: 174.3639, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8103, predictive_accuracy: 0.8086, prior_entropy: 1.0792, recall: 0.8086, relative_absolute_error: 0.3845, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.277, root_relative_squared_error: 0.8793, scimark_benchmark: 947.1662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.838, kappa: 0.673, kb_relative_information_score: 175.9119, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8382, predictive_accuracy: 0.8383, prior_entropy: 1.0792, recall: 0.8383, relative_absolute_error: 0.3888, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.7217, scimark_benchmark: 948.8325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7379, f_measure: 0.6928, kappa: 0.3801, kb_relative_information_score: 111.7536, mean_absolute_error: 0.1215, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.6926, predictive_accuracy: 0.6931, prior_entropy: 1.0792, recall: 0.6931, relative_absolute_error: 0.6064, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.3348, root_relative_squared_error: 1.0629, scimark_benchmark: 944.3766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8607, f_measure: 0.8017, kappa: 0.5998, kb_relative_information_score: 165.2695, mean_absolute_error: 0.0842, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8017, predictive_accuracy: 0.802, prior_entropy: 1.0792, recall: 0.802, relative_absolute_error: 0.42, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2675, root_relative_squared_error: 0.8492, scimark_benchmark: 920.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8531, f_measure: 0.8367, kappa: 0.6703, kb_relative_information_score: 132.8476, mean_absolute_error: 0.1144, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.842, predictive_accuracy: 0.8383, prior_entropy: 1.0792, recall: 0.8383, relative_absolute_error: 0.5709, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2384, root_relative_squared_error: 0.7569, scimark_benchmark: 943.2627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, f_measure: 0.7985, kappa: 0.5934, kb_relative_information_score: 149.7637, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7984, predictive_accuracy: 0.7987, prior_entropy: 1.0792, recall: 0.7987, relative_absolute_error: 0.4918, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2674, root_relative_squared_error: 0.849, scimark_benchmark: 919.0155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.8411, kappa: 0.6791, kb_relative_information_score: 144.8648, mean_absolute_error: 0.1043, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8418, predictive_accuracy: 0.8416, prior_entropy: 1.0792, recall: 0.8416, relative_absolute_error: 0.5205, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.224, root_relative_squared_error: 0.7111, scimark_benchmark: 946.4017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8931, f_measure: 0.8279, kappa: 0.6524, kb_relative_information_score: 145.5976, mean_absolute_error: 0.1032, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8285, predictive_accuracy: 0.8284, prior_entropy: 1.0792, recall: 0.8284, relative_absolute_error: 0.5152, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.227, root_relative_squared_error: 0.7206, scimark_benchmark: 941.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8315, f_measure: 0.8172, kappa: 0.6308, kb_relative_information_score: 181.5088, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8201, predictive_accuracy: 0.8185, prior_entropy: 1.0792, recall: 0.8185, relative_absolute_error: 0.359, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2663, root_relative_squared_error: 0.8455, scimark_benchmark: 939.8437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.855, f_measure: 0.7977, kappa: 0.5915, kb_relative_information_score: 166.6053, mean_absolute_error: 0.0829, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.799, predictive_accuracy: 0.7987, prior_entropy: 1.0792, recall: 0.7987, relative_absolute_error: 0.4137, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2677, root_relative_squared_error: 0.8499, scimark_benchmark: 944.4771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.8236, kappa: 0.6438, kb_relative_information_score: 133.9904, mean_absolute_error: 0.1132, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8275, predictive_accuracy: 0.8251, prior_entropy: 1.0792, recall: 0.8251, relative_absolute_error: 0.5649, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.7279, scimark_benchmark: 947.2269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8431, f_measure: 0.7609, kappa: 0.5169, kb_relative_information_score: 146.3426, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7627, predictive_accuracy: 0.7624, prior_entropy: 1.0792, recall: 0.7624, relative_absolute_error: 0.486, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2816, root_relative_squared_error: 0.894, scimark_benchmark: 946.9543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, f_measure: 0.7627, kappa: 0.5226, kb_relative_information_score: 111.1075, mean_absolute_error: 0.1286, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7636, predictive_accuracy: 0.7624, prior_entropy: 1.0792, recall: 0.7624, relative_absolute_error: 0.6418, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2653, root_relative_squared_error: 0.8424, scimark_benchmark: 935.6178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.8146, kappa: 0.6256, kb_relative_information_score: 166.1669, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8152, predictive_accuracy: 0.8152, prior_entropy: 1.0792, recall: 0.8152, relative_absolute_error: 0.4257, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2347, root_relative_squared_error: 0.7451, scimark_benchmark: 947.9576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8863, f_measure: 0.7943, kappa: 0.5845, kb_relative_information_score: 148.6275, mean_absolute_error: 0.099, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7958, predictive_accuracy: 0.7954, prior_entropy: 1.0792, recall: 0.7954, relative_absolute_error: 0.4938, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2325, root_relative_squared_error: 0.738, scimark_benchmark: 948.9672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.806, f_measure: 0.749, kappa: 0.4937, kb_relative_information_score: 110.1353, mean_absolute_error: 0.1287, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7489, predictive_accuracy: 0.7492, prior_entropy: 1.0792, recall: 0.7492, relative_absolute_error: 0.6421, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2647, root_relative_squared_error: 0.8403, scimark_benchmark: 946.6992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8575, f_measure: 0.7858, kappa: 0.5693, kb_relative_information_score: 135.869, mean_absolute_error: 0.1096, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.787, predictive_accuracy: 0.7855, prior_entropy: 1.0792, recall: 0.7855, relative_absolute_error: 0.547, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2454, root_relative_squared_error: 0.7792, scimark_benchmark: 943.8952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.8305, kappa: 0.6576, kb_relative_information_score: 135.0499, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8335, predictive_accuracy: 0.8317, prior_entropy: 1.0792, recall: 0.8317, relative_absolute_error: 0.5615, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2283, root_relative_squared_error: 0.7247, scimark_benchmark: 949.5614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, f_measure: 0.7986, kappa: 0.5939, kb_relative_information_score: 160.5027, mean_absolute_error: 0.0889, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7986, predictive_accuracy: 0.7987, prior_entropy: 1.0792, recall: 0.7987, relative_absolute_error: 0.4435, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2664, root_relative_squared_error: 0.8458, scimark_benchmark: 923.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.384, kb_relative_information_score: 5.4158, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.2965, predictive_accuracy: 0.5446, prior_entropy: 1.0792, recall: 0.5446, relative_absolute_error: 0.9854, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.3154, root_relative_squared_error: 1.0014, scimark_benchmark: 946.8424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7798, f_measure: 0.782, kappa: 0.5603, kb_relative_information_score: 32.1868, mean_absolute_error: 0.1839, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.782, predictive_accuracy: 0.7822, prior_entropy: 1.0792, recall: 0.7822, relative_absolute_error: 0.9176, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2931, root_relative_squared_error: 0.9305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8111, f_measure: 0.7955, kappa: 0.588, kb_relative_information_score: 160.8761, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7957, predictive_accuracy: 0.7954, prior_entropy: 1.0792, recall: 0.7954, relative_absolute_error: 0.4391, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2683, root_relative_squared_error: 0.8518, scimark_benchmark: 948.4557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, f_measure: 0.8243, kappa: 0.6451, kb_relative_information_score: 147.7146, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8257, predictive_accuracy: 0.8251, prior_entropy: 1.0792, recall: 0.8251, relative_absolute_error: 0.5049, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2256, root_relative_squared_error: 0.7162, scimark_benchmark: 945.8148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8984, f_measure: 0.8309, kappa: 0.6584, kb_relative_information_score: 169.0807, mean_absolute_error: 0.0845, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8324, predictive_accuracy: 0.8317, prior_entropy: 1.0792, recall: 0.8317, relative_absolute_error: 0.4218, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.7135, scimark_benchmark: 947.9566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8268, f_measure: 0.776, kappa: 0.5507, kb_relative_information_score: 154.0671, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7967, predictive_accuracy: 0.7822, prior_entropy: 1.0792, recall: 0.7822, relative_absolute_error: 0.4584, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2575, root_relative_squared_error: 0.8173, scimark_benchmark: 947.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.8408, kappa: 0.6783, kb_relative_information_score: 167.8654, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8426, predictive_accuracy: 0.8416, prior_entropy: 1.0792, recall: 0.8416, relative_absolute_error: 0.43, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2188, root_relative_squared_error: 0.6947, scimark_benchmark: 946.1782,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6364, f_measure: 0.6186, kappa: 0.2888, kb_relative_information_score: 19.1159, mean_absolute_error: 0.1905, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7548, predictive_accuracy: 0.6667, prior_entropy: 1.0792, recall: 0.6667, relative_absolute_error: 0.9505, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.3042, root_relative_squared_error: 0.9656, scimark_benchmark: 913.1152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8415, f_measure: 0.7847, kappa: 0.5652, kb_relative_information_score: 141.328, mean_absolute_error: 0.1026, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7853, predictive_accuracy: 0.7855, prior_entropy: 1.0792, recall: 0.7855, relative_absolute_error: 0.512, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.254, root_relative_squared_error: 0.8065, scimark_benchmark: 909.2668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8374, kappa: 0.6714, kb_relative_information_score: 38.4086, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8396, predictive_accuracy: 0.8383, prior_entropy: 1.0792, recall: 0.8383, relative_absolute_error: 0.9016, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2876, root_relative_squared_error: 0.913, scimark_benchmark: 948.1411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7803, f_measure: 0.7815, kappa: 0.5588, kb_relative_information_score: 138.5123, mean_absolute_error: 0.107, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7819, predictive_accuracy: 0.7822, prior_entropy: 1.0792, recall: 0.7822, relative_absolute_error: 0.5339, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2748, root_relative_squared_error: 0.8722, scimark_benchmark: 934.6344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8294, f_measure: 0.8315, kappa: 0.6601, kb_relative_information_score: 37.6966, mean_absolute_error: 0.181, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8315, predictive_accuracy: 0.8317, prior_entropy: 1.0792, recall: 0.8317, relative_absolute_error: 0.9035, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2882, root_relative_squared_error: 0.9151, scimark_benchmark: 941.5224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8166, f_measure: 0.7776, kappa: 0.5508, kb_relative_information_score: 129.8933, mean_absolute_error: 0.1138, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7793, predictive_accuracy: 0.7789, prior_entropy: 1.0792, recall: 0.7789, relative_absolute_error: 0.5681, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2616, root_relative_squared_error: 0.8306, scimark_benchmark: 940.4922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8649, f_measure: 0.7747, kappa: 0.5449, kb_relative_information_score: 152.8645, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7755, predictive_accuracy: 0.7756, prior_entropy: 1.0792, recall: 0.7756, relative_absolute_error: 0.465, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2646, root_relative_squared_error: 0.84, scimark_benchmark: 948.0632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7851, f_measure: 0.7625, kappa: 0.5215, kb_relative_information_score: 110.3586, mean_absolute_error: 0.129, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7627, predictive_accuracy: 0.7624, prior_entropy: 1.0792, recall: 0.7624, relative_absolute_error: 0.6436, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2714, root_relative_squared_error: 0.8615, scimark_benchmark: 946.3804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, f_measure: 0.8275, kappa: 0.6515, kb_relative_information_score: 134.8559, mean_absolute_error: 0.1127, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8293, predictive_accuracy: 0.8284, prior_entropy: 1.0792, recall: 0.8284, relative_absolute_error: 0.5625, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.227, root_relative_squared_error: 0.7208, scimark_benchmark: 910.9711,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8718, f_measure: 0.8015, kappa: 0.5994, kb_relative_information_score: 160.0551, mean_absolute_error: 0.0891, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8018, predictive_accuracy: 0.802, prior_entropy: 1.0792, recall: 0.802, relative_absolute_error: 0.4445, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2472, root_relative_squared_error: 0.7848, scimark_benchmark: 946.1256,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9012, f_measure: 0.8284, kappa: 0.654, kb_relative_information_score: 156.0128, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8284, predictive_accuracy: 0.8284, prior_entropy: 1.0792, recall: 0.8284, relative_absolute_error: 0.4749, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.7029, scimark_benchmark: 950.0545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, f_measure: 0.8273, kappa: 0.6511, kb_relative_information_score: 134.4192, mean_absolute_error: 0.113, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8298, predictive_accuracy: 0.8284, prior_entropy: 1.0792, recall: 0.8284, relative_absolute_error: 0.5642, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.7229, scimark_benchmark: 947.3252,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.881, f_measure: 0.8273, kappa: 0.6511, kb_relative_information_score: 135.2919, mean_absolute_error: 0.1118, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8298, predictive_accuracy: 0.8284, prior_entropy: 1.0792, recall: 0.8284, relative_absolute_error: 0.5581, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.7352, scimark_benchmark: 902.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7883, f_measure: 0.789, kappa: 0.5752, kb_relative_information_score: 32.9356, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7895, predictive_accuracy: 0.7888, prior_entropy: 1.0792, recall: 0.7888, relative_absolute_error: 0.9157, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2925, root_relative_squared_error: 0.9285, scimark_benchmark: 948.7838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8641, f_measure: 0.8206, kappa: 0.6377, kb_relative_information_score: 150.3801, mean_absolute_error: 0.0977, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8231, predictive_accuracy: 0.8218, prior_entropy: 1.0792, recall: 0.8218, relative_absolute_error: 0.4877, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2396, root_relative_squared_error: 0.7608, scimark_benchmark: 943.6071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8661, f_measure: 0.7381, kappa: 0.4709, kb_relative_information_score: 104.0969, mean_absolute_error: 0.1338, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7388, predictive_accuracy: 0.7393, prior_entropy: 1.0792, recall: 0.7393, relative_absolute_error: 0.6677, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.262, root_relative_squared_error: 0.8317, scimark_benchmark: 912.3481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.8408, kappa: 0.6783, kb_relative_information_score: 167.8654, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8426, predictive_accuracy: 0.8416, prior_entropy: 1.0792, recall: 0.8416, relative_absolute_error: 0.43, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2188, root_relative_squared_error: 0.6947, scimark_benchmark: 940.5713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8294, f_measure: 0.7627, kappa: 0.5226, kb_relative_information_score: 123.8681, mean_absolute_error: 0.1185, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7636, predictive_accuracy: 0.7624, prior_entropy: 1.0792, recall: 0.7624, relative_absolute_error: 0.5911, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2585, root_relative_squared_error: 0.8208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7327, f_measure: 0.7356, kappa: 0.4665, kb_relative_information_score: 134.0206, mean_absolute_error: 0.1056, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.7355, predictive_accuracy: 0.736, prior_entropy: 1.0792, recall: 0.736, relative_absolute_error: 0.527, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.325, root_relative_squared_error: 1.0317, scimark_benchmark: 946.2295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.8281, kappa: 0.6532, kb_relative_information_score: 37.3268, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8282, predictive_accuracy: 0.8284, prior_entropy: 1.0792, recall: 0.8284, relative_absolute_error: 0.9044, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2886, root_relative_squared_error: 0.9161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8216, f_measure: 0.8246, kappa: 0.6459, kb_relative_information_score: 36.9525, mean_absolute_error: 0.1814, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8251, predictive_accuracy: 0.8251, prior_entropy: 1.0792, recall: 0.8251, relative_absolute_error: 0.9054, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.2889, root_relative_squared_error: 0.9172, scimark_benchmark: 948.4548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8958, f_measure: 0.8209, kappa: 0.6381, kb_relative_information_score: 167.9906, mean_absolute_error: 0.0845, mean_prior_absolute_error: 0.2004, number_of_instances: 303, precision: 0.8226, predictive_accuracy: 0.8218, prior_entropy: 1.0792, recall: 0.8218, relative_absolute_error: 0.4217, root_mean_prior_squared_error: 0.315, root_mean_squared_error: 0.228, root_relative_squared_error: 0.7238, scimark_benchmark: 946.0384,

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