Task
Supervised Classification on mfeat-morphological

Supervised Classification on mfeat-morphological

Task 18 Supervised Classification mfeat-morphological 21770 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 study_70 study_98 study_99 under100k under1m
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21770 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8072, f_measure: 0.6428, kappa: 0.6022, kb_relative_information_score: 1265.7753, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6447, predictive_accuracy: 0.642, prior_entropy: 3.3219, recall: 0.642, relative_absolute_error: 0.3964, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2645, root_relative_squared_error: 0.8815, scimark_benchmark: 1972.5546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.6873, kappa: 0.6533, kb_relative_information_score: 1442.8532, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6878, predictive_accuracy: 0.688, prior_entropy: 3.3219, recall: 0.688, relative_absolute_error: 0.3798, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.6925, scimark_benchmark: 1975.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.7206, kappa: 0.6917, kb_relative_information_score: 1480.5639, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7224, predictive_accuracy: 0.7225, prior_entropy: 3.3219, recall: 0.7225, relative_absolute_error: 0.3918, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1874, root_relative_squared_error: 0.6247, scimark_benchmark: 2016.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.707, kappa: 0.6761, kb_relative_information_score: 1503.6648, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7074, predictive_accuracy: 0.7085, prior_entropy: 3.3219, recall: 0.7085, relative_absolute_error: 0.377, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1881, root_relative_squared_error: 0.6269, scimark_benchmark: 2012.2443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.6949, kappa: 0.6756, kb_relative_information_score: 1426.6621, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7028, predictive_accuracy: 0.708, prior_entropy: 3.3219, recall: 0.708, relative_absolute_error: 0.4072, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1983, root_relative_squared_error: 0.6611, scimark_benchmark: 2007.9775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.7058, kappa: 0.6767, kb_relative_information_score: 555.2577, mean_absolute_error: 0.1619, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.715, predictive_accuracy: 0.709, prior_entropy: 3.3219, recall: 0.709, relative_absolute_error: 0.8997, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2757, root_relative_squared_error: 0.919, scimark_benchmark: 2010.8308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.758, f_measure: 0.0801, kappa: 0.1106, kb_relative_information_score: 572.1443, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0577, predictive_accuracy: 0.1995, prior_entropy: 3.3219, recall: 0.1995, relative_absolute_error: 0.8923, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2834, root_relative_squared_error: 0.9446, scimark_benchmark: 938.3065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8228, f_measure: 0.6623, kappa: 0.6256, kb_relative_information_score: 1308.3233, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6632, predictive_accuracy: 0.663, prior_entropy: 3.3219, recall: 0.663, relative_absolute_error: 0.3777, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2553, root_relative_squared_error: 0.851, scimark_benchmark: 948.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.7389, kappa: 0.7111, kb_relative_information_score: 1529.6219, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7407, predictive_accuracy: 0.74, prior_entropy: 3.3219, recall: 0.74, relative_absolute_error: 0.3601, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1811, root_relative_squared_error: 0.6037, scimark_benchmark: 949.7764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9564, f_measure: 0.6972, kappa: 0.6656, kb_relative_information_score: 1487.8532, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6977, predictive_accuracy: 0.699, prior_entropy: 3.3219, recall: 0.699, relative_absolute_error: 0.3774, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1941, root_relative_squared_error: 0.6471, scimark_benchmark: 947.3322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.7485, kappa: 0.7217, kb_relative_information_score: 1513.0892, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7515, predictive_accuracy: 0.7495, prior_entropy: 3.3219, recall: 0.7495, relative_absolute_error: 0.3875, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1818, root_relative_squared_error: 0.6058, scimark_benchmark: 937.9103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9235, f_measure: 0.6888, kappa: 0.6906, kb_relative_information_score: 1496.5492, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6982, predictive_accuracy: 0.7215, prior_entropy: 3.3219, recall: 0.7215, relative_absolute_error: 0.3513, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1991, root_relative_squared_error: 0.6638, scimark_benchmark: 939.6297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.6798, kappa: 0.6594, kb_relative_information_score: 1463.8577, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6917, predictive_accuracy: 0.6935, prior_entropy: 3.3219, recall: 0.6935, relative_absolute_error: 0.3656, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.6907, scimark_benchmark: 919.428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.7435, kappa: 0.7167, kb_relative_information_score: 561.1242, mean_absolute_error: 0.1617, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7465, predictive_accuracy: 0.745, prior_entropy: 3.3219, recall: 0.745, relative_absolute_error: 0.8982, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.275, root_relative_squared_error: 0.9167, scimark_benchmark: 950.8304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.7396, kappa: 0.7139, kb_relative_information_score: 92.8848, mean_absolute_error: 0.1777, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7401, predictive_accuracy: 0.7425, prior_entropy: 3.3219, recall: 0.7425, relative_absolute_error: 0.9872, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2962, root_relative_squared_error: 0.9872, scimark_benchmark: 945.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.7383, kappa: 0.71, kb_relative_information_score: 1521.0845, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7411, predictive_accuracy: 0.739, prior_entropy: 3.3219, recall: 0.739, relative_absolute_error: 0.3728, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1806, root_relative_squared_error: 0.6021, scimark_benchmark: 913.3762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9447, f_measure: 0.6887, kappa: 0.6911, kb_relative_information_score: 1475.0987, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6737, predictive_accuracy: 0.722, prior_entropy: 3.3219, recall: 0.722, relative_absolute_error: 0.3754, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1941, root_relative_squared_error: 0.647, scimark_benchmark: 911.9755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, scimark_benchmark: 947.8163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, f_measure: 0.7024, kappa: 0.6717, kb_relative_information_score: 1510.2314, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.703, predictive_accuracy: 0.7045, prior_entropy: 3.3219, recall: 0.7045, relative_absolute_error: 0.3763, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1858, root_relative_squared_error: 0.6194, scimark_benchmark: 911.7344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9519, f_measure: 0.737, kappa: 0.7128, kb_relative_information_score: 560.8592, mean_absolute_error: 0.1617, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7446, predictive_accuracy: 0.7415, prior_entropy: 3.3219, recall: 0.7415, relative_absolute_error: 0.8983, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2751, root_relative_squared_error: 0.9171, scimark_benchmark: 936.4628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.7222, kappa: 0.6928, kb_relative_information_score: 1533.6109, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7257, predictive_accuracy: 0.7235, prior_entropy: 3.3219, recall: 0.7235, relative_absolute_error: 0.3543, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1862, root_relative_squared_error: 0.6208, scimark_benchmark: 924.4597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.7008, kappa: 0.6683, kb_relative_information_score: 1456.9465, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.701, predictive_accuracy: 0.7015, prior_entropy: 3.3219, recall: 0.7015, relative_absolute_error: 0.3801, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2023, root_relative_squared_error: 0.6743, scimark_benchmark: 946.9813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9166, f_measure: 0.7041, kappa: 0.6928, kb_relative_information_score: 1495.0647, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7168, predictive_accuracy: 0.7235, prior_entropy: 3.3219, recall: 0.7235, relative_absolute_error: 0.3517, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1998, root_relative_squared_error: 0.666, scimark_benchmark: 947.3327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9398, f_measure: 0.6925, kappa: 0.665, kb_relative_information_score: 552.174, mean_absolute_error: 0.1621, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7021, predictive_accuracy: 0.6985, prior_entropy: 3.3219, recall: 0.6985, relative_absolute_error: 0.9005, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.276, root_relative_squared_error: 0.9199, scimark_benchmark: 945.5406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, f_measure: 0.7024, kappa: 0.6978, kb_relative_information_score: 1487.2777, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7252, predictive_accuracy: 0.728, prior_entropy: 3.3219, recall: 0.728, relative_absolute_error: 0.3713, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.6384, scimark_benchmark: 927.0658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9606, f_measure: 0.7028, kappa: 0.6717, kb_relative_information_score: 1510.9568, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7037, predictive_accuracy: 0.7045, prior_entropy: 3.3219, recall: 0.7045, relative_absolute_error: 0.3761, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.6186, scimark_benchmark: 945.6108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.6928, kappa: 0.6889, kb_relative_information_score: 1458.4062, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7125, predictive_accuracy: 0.72, prior_entropy: 3.3219, recall: 0.72, relative_absolute_error: 0.3929, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.6487, scimark_benchmark: 945.6922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.7442, kappa: 0.7183, kb_relative_information_score: 561.5736, mean_absolute_error: 0.1617, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7487, predictive_accuracy: 0.7465, prior_entropy: 3.3219, recall: 0.7465, relative_absolute_error: 0.8981, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2749, root_relative_squared_error: 0.9164, scimark_benchmark: 911.7567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7003, f_measure: 0.4553, kappa: 0.4006, kb_relative_information_score: 871.6277, mean_absolute_error: 0.1079, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.4554, predictive_accuracy: 0.4605, prior_entropy: 3.3219, recall: 0.4605, relative_absolute_error: 0.5994, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3285, root_relative_squared_error: 1.0949, scimark_benchmark: 948.5948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9416, f_measure: 0.7151, kappa: 0.6839, kb_relative_information_score: 1523.8685, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.716, predictive_accuracy: 0.7155, prior_entropy: 3.3219, recall: 0.7155, relative_absolute_error: 0.3522, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.193, root_relative_squared_error: 0.6432, scimark_benchmark: 948.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9332, f_measure: 0.6404, kappa: 0.625, kb_relative_information_score: 534.3295, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.655, predictive_accuracy: 0.6625, prior_entropy: 3.3219, recall: 0.6625, relative_absolute_error: 0.9045, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2771, root_relative_squared_error: 0.9238, scimark_benchmark: 911.2662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.6585, kappa: 0.6267, kb_relative_information_score: 541.2935, mean_absolute_error: 0.1625, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6628, predictive_accuracy: 0.664, prior_entropy: 3.3219, recall: 0.664, relative_absolute_error: 0.903, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2766, root_relative_squared_error: 0.9221, scimark_benchmark: 948.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9492, f_measure: 0.7362, kappa: 0.71, kb_relative_information_score: 559.9877, mean_absolute_error: 0.1617, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7429, predictive_accuracy: 0.739, prior_entropy: 3.3219, recall: 0.739, relative_absolute_error: 0.8985, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2752, root_relative_squared_error: 0.9173, scimark_benchmark: 949.2339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9468, f_measure: 0.6861, kappa: 0.6889, kb_relative_information_score: 1464.941, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6716, predictive_accuracy: 0.72, prior_entropy: 3.3219, recall: 0.72, relative_absolute_error: 0.3884, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.6487, scimark_benchmark: 924.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9459, f_measure: 0.7387, kappa: 0.7117, kb_relative_information_score: 561.1332, mean_absolute_error: 0.1617, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7424, predictive_accuracy: 0.7405, prior_entropy: 3.3219, recall: 0.7405, relative_absolute_error: 0.8983, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2752, root_relative_squared_error: 0.9174, scimark_benchmark: 948.8529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.942, f_measure: 0.7017, kappa: 0.6728, kb_relative_information_score: 554.1818, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7117, predictive_accuracy: 0.7055, prior_entropy: 3.3219, recall: 0.7055, relative_absolute_error: 0.8998, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2758, root_relative_squared_error: 0.9192, scimark_benchmark: 948.2903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.939, f_measure: 0.6992, kappa: 0.69, kb_relative_information_score: 1498.0314, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7117, predictive_accuracy: 0.721, prior_entropy: 3.3219, recall: 0.721, relative_absolute_error: 0.3596, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.6439, scimark_benchmark: 948.5267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.4919, kappa: 0.4244, kb_relative_information_score: 438.2617, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.583, predictive_accuracy: 0.482, prior_entropy: 3.3219, recall: 0.482, relative_absolute_error: 0.9249, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2827, root_relative_squared_error: 0.9424, scimark_benchmark: 948.8791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8085, f_measure: 0.6485, kappa: 0.6083, kb_relative_information_score: 1268.6769, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6497, predictive_accuracy: 0.6475, prior_entropy: 3.3219, recall: 0.6475, relative_absolute_error: 0.3946, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.264, root_relative_squared_error: 0.8801, scimark_benchmark: 948.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, f_measure: 0.7355, kappa: 0.7078, kb_relative_information_score: 559.961, mean_absolute_error: 0.1617, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7411, predictive_accuracy: 0.737, prior_entropy: 3.3219, recall: 0.737, relative_absolute_error: 0.8985, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2752, root_relative_squared_error: 0.9174, scimark_benchmark: 948.4358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9207, f_measure: 0.5246, kappa: 0.5228, kb_relative_information_score: 519.6113, mean_absolute_error: 0.1634, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.5544, predictive_accuracy: 0.5705, prior_entropy: 3.3219, recall: 0.5705, relative_absolute_error: 0.9077, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2783, root_relative_squared_error: 0.9276, scimark_benchmark: 943.8964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9401, f_measure: 0.6814, kappa: 0.6567, kb_relative_information_score: 548.35, mean_absolute_error: 0.1622, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.691, predictive_accuracy: 0.691, prior_entropy: 3.3219, recall: 0.691, relative_absolute_error: 0.9013, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2762, root_relative_squared_error: 0.9208, scimark_benchmark: 946.9088,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9471, f_measure: 0.7278, kappa: 0.7006, kb_relative_information_score: 559.5754, mean_absolute_error: 0.1618, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7341, predictive_accuracy: 0.7305, prior_entropy: 3.3219, recall: 0.7305, relative_absolute_error: 0.8986, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2752, root_relative_squared_error: 0.9174, scimark_benchmark: 948.7262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.7181, kappa: 0.6867, kb_relative_information_score: 1536.5283, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7196, predictive_accuracy: 0.718, prior_entropy: 3.3219, recall: 0.718, relative_absolute_error: 0.3519, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1869, root_relative_squared_error: 0.6231, scimark_benchmark: 944.9237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, scimark_benchmark: 944.3312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.7036, kappa: 0.6922, kb_relative_information_score: 1496.4563, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7164, predictive_accuracy: 0.723, prior_entropy: 3.3219, recall: 0.723, relative_absolute_error: 0.3494, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2003, root_relative_squared_error: 0.6675, scimark_benchmark: 946.505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.6798, kappa: 0.6594, kb_relative_information_score: 1463.8577, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6917, predictive_accuracy: 0.6935, prior_entropy: 3.3219, recall: 0.6935, relative_absolute_error: 0.3656, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.6907, scimark_benchmark: 947.7497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.919, f_measure: 0.6932, kappa: 0.6939, kb_relative_information_score: 1491.9171, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6979, predictive_accuracy: 0.7245, prior_entropy: 3.3219, recall: 0.7245, relative_absolute_error: 0.3544, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1995, root_relative_squared_error: 0.665, scimark_benchmark: 945.8297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7985, f_measure: 0.3702, kappa: 0.3233, kb_relative_information_score: 411.6775, mean_absolute_error: 0.1676, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.485, predictive_accuracy: 0.391, prior_entropy: 3.3219, recall: 0.391, relative_absolute_error: 0.9311, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2855, root_relative_squared_error: 0.9518, scimark_benchmark: 946.3016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.7121, kappa: 0.6844, kb_relative_information_score: 1518.6615, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7168, predictive_accuracy: 0.716, prior_entropy: 3.3219, recall: 0.716, relative_absolute_error: 0.3515, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1966, root_relative_squared_error: 0.6552, scimark_benchmark: 921.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.735, kappa: 0.7072, kb_relative_information_score: 560.3337, mean_absolute_error: 0.1617, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7368, predictive_accuracy: 0.7365, prior_entropy: 3.3219, recall: 0.7365, relative_absolute_error: 0.8985, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2749, root_relative_squared_error: 0.9165, scimark_benchmark: 949.4867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9512, f_measure: 0.709, kappa: 0.6911, kb_relative_information_score: 1472.5669, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7193, predictive_accuracy: 0.722, prior_entropy: 3.3219, recall: 0.722, relative_absolute_error: 0.3838, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.643, scimark_benchmark: 946.8449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7208, f_measure: 0.483, kappa: 0.4417, kb_relative_information_score: 949.0137, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.484, predictive_accuracy: 0.4975, prior_entropy: 3.3219, recall: 0.4975, relative_absolute_error: 0.5583, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.317, root_relative_squared_error: 1.0567, scimark_benchmark: 917.8289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.6946, kappa: 0.6744, kb_relative_information_score: 555.3741, mean_absolute_error: 0.1619, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7112, predictive_accuracy: 0.707, prior_entropy: 3.3219, recall: 0.707, relative_absolute_error: 0.8996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2756, root_relative_squared_error: 0.9188, scimark_benchmark: 944.5754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9411, f_measure: 0.7265, kappa: 0.6989, kb_relative_information_score: 559.3353, mean_absolute_error: 0.1618, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7292, predictive_accuracy: 0.729, prior_entropy: 3.3219, recall: 0.729, relative_absolute_error: 0.8988, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2754, root_relative_squared_error: 0.918, scimark_benchmark: 945.9336,

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