Task
Supervised Classification on mfeat-zernike

Supervised Classification on mfeat-zernike

Task 22 Supervised Classification mfeat-zernike 23070 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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23070 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.8584, kappa: 0.8428, kb_relative_information_score: 0.8321, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.18, weighted_recall: 0.8585, number_of_instances: 2000, precision: 0.8587, predictive_accuracy: 0.8585, prior_entropy: 3.3219, relative_absolute_error: 0.2714, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1425, root_relative_squared_error: 0.475, unweighted_recall: 0.8585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.8705, kappa: 0.8556, kb_relative_information_score: 0.8529, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.18, weighted_recall: 0.87, number_of_instances: 2000, precision: 0.8716, predictive_accuracy: 0.87, prior_entropy: 3.3219, relative_absolute_error: 0.2443, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1343, root_relative_squared_error: 0.4477, unweighted_recall: 0.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5377, kappa: 0.0106, kb_relative_information_score: 0.0061, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.18, weighted_recall: 0.1095, number_of_instances: 2000, predictive_accuracy: 0.1095, prior_entropy: 3.3219, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2997, root_relative_squared_error: 0.9989, unweighted_recall: 0.1095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.8554, kappa: 0.8406, kb_relative_information_score: 0.8487, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.18, weighted_recall: 0.8565, number_of_instances: 2000, precision: 0.8546, predictive_accuracy: 0.8565, prior_entropy: 3.3219, relative_absolute_error: 0.2468, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.138, root_relative_squared_error: 0.4599, unweighted_recall: 0.8565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.865, kappa: 0.8517, kb_relative_information_score: 0.8494, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.18, weighted_recall: 0.8665, number_of_instances: 2000, precision: 0.8641, predictive_accuracy: 0.8665, prior_entropy: 3.3219, relative_absolute_error: 0.2479, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1366, root_relative_squared_error: 0.4553, unweighted_recall: 0.8665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.8704, kappa: 0.8539, kb_relative_information_score: 0.8282, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.18, weighted_recall: 0.8685, number_of_instances: 2000, precision: 0.878, predictive_accuracy: 0.8685, prior_entropy: 3.3219, relative_absolute_error: 0.2454, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.4614, unweighted_recall: 0.8685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.6994, kappa: 0.6033, kb_relative_information_score: 0.3448, mean_absolute_error: 0.1386, mean_prior_absolute_error: 0.18, weighted_recall: 0.643, number_of_instances: 2000, precision: 0.8747, predictive_accuracy: 0.643, prior_entropy: 3.3219, relative_absolute_error: 0.7701, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2527, root_relative_squared_error: 0.8424, unweighted_recall: 0.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.8637, kappa: 0.85, kb_relative_information_score: 0.8492, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.18, weighted_recall: 0.865, number_of_instances: 2000, precision: 0.8627, predictive_accuracy: 0.865, prior_entropy: 3.3219, relative_absolute_error: 0.2491, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.4536, unweighted_recall: 0.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0917, kb_relative_information_score: 0.0027, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, weighted_recall: 0.1, number_of_instances: 2000, predictive_accuracy: 0.1, prior_entropy: 3.3219, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3001, root_relative_squared_error: 1.0002, unweighted_recall: 0.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.8349, kappa: 0.8194, kb_relative_information_score: 0.832, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.18, weighted_recall: 0.8375, number_of_instances: 2000, precision: 0.8344, predictive_accuracy: 0.8375, prior_entropy: 3.3219, relative_absolute_error: 0.269, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1457, root_relative_squared_error: 0.4855, unweighted_recall: 0.8375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.77, kappa: 0.7494, kb_relative_information_score: 0.661, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.18, weighted_recall: 0.7745, number_of_instances: 2000, precision: 0.7708, predictive_accuracy: 0.7745, prior_entropy: 3.3219, relative_absolute_error: 0.4823, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.6527, unweighted_recall: 0.7745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.8704, kappa: 0.8539, kb_relative_information_score: 0.8289, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.18, weighted_recall: 0.8685, number_of_instances: 2000, precision: 0.8779, predictive_accuracy: 0.8685, prior_entropy: 3.3219, relative_absolute_error: 0.2446, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1382, root_relative_squared_error: 0.4606, unweighted_recall: 0.8685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.8639, kappa: 0.85, kb_relative_information_score: 0.8508, mean_absolute_error: 0.0445, mean_prior_absolute_error: 0.18, weighted_recall: 0.865, number_of_instances: 2000, precision: 0.8632, predictive_accuracy: 0.865, prior_entropy: 3.3219, relative_absolute_error: 0.2471, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1354, root_relative_squared_error: 0.4515, unweighted_recall: 0.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.8696, kappa: 0.8561, kb_relative_information_score: 0.8604, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.18, weighted_recall: 0.8705, number_of_instances: 2000, precision: 0.869, predictive_accuracy: 0.8705, prior_entropy: 3.3219, relative_absolute_error: 0.2301, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1328, root_relative_squared_error: 0.4425, unweighted_recall: 0.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.8809, kappa: 0.8667, kb_relative_information_score: 0.855, mean_absolute_error: 0.039, mean_prior_absolute_error: 0.18, weighted_recall: 0.88, number_of_instances: 2000, precision: 0.8837, predictive_accuracy: 0.88, prior_entropy: 3.3219, relative_absolute_error: 0.2169, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.129, root_relative_squared_error: 0.4301, unweighted_recall: 0.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.866, kappa: 0.8528, kb_relative_information_score: 0.8506, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.18, weighted_recall: 0.8675, number_of_instances: 2000, precision: 0.8652, predictive_accuracy: 0.8675, prior_entropy: 3.3219, relative_absolute_error: 0.2463, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.136, root_relative_squared_error: 0.4535, unweighted_recall: 0.8675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.8472, kappa: 0.8322, kb_relative_information_score: 0.8388, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.18, weighted_recall: 0.849, number_of_instances: 2000, precision: 0.8465, predictive_accuracy: 0.849, prior_entropy: 3.3219, relative_absolute_error: 0.2603, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1423, root_relative_squared_error: 0.4743, unweighted_recall: 0.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.8058, kappa: 0.79, kb_relative_information_score: 0.7824, mean_absolute_error: 0.0664, mean_prior_absolute_error: 0.18, weighted_recall: 0.811, number_of_instances: 2000, precision: 0.8015, predictive_accuracy: 0.811, prior_entropy: 3.3219, relative_absolute_error: 0.3691, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.158, root_relative_squared_error: 0.5266, unweighted_recall: 0.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.726, kappa: 0.7089, kb_relative_information_score: 0.3966, mean_absolute_error: 0.1459, mean_prior_absolute_error: 0.18, weighted_recall: 0.738, number_of_instances: 2000, precision: 0.7226, predictive_accuracy: 0.738, prior_entropy: 3.3219, relative_absolute_error: 0.8108, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2501, root_relative_squared_error: 0.8338, unweighted_recall: 0.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.8056, kappa: 0.7833, kb_relative_information_score: 0.8333, mean_absolute_error: 0.0474, mean_prior_absolute_error: 0.18, weighted_recall: 0.805, number_of_instances: 2000, precision: 0.8066, predictive_accuracy: 0.805, prior_entropy: 3.3219, relative_absolute_error: 0.2636, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1535, root_relative_squared_error: 0.5116, unweighted_recall: 0.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.8246, kappa: 0.8139, kb_relative_information_score: 0.8347, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.18, weighted_recall: 0.8325, number_of_instances: 2000, precision: 0.8239, predictive_accuracy: 0.8325, prior_entropy: 3.3219, relative_absolute_error: 0.271, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1485, root_relative_squared_error: 0.4948, unweighted_recall: 0.8325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.8218, kappa: 0.805, kb_relative_information_score: 0.8388, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.18, weighted_recall: 0.8245, number_of_instances: 2000, precision: 0.8195, predictive_accuracy: 0.8245, prior_entropy: 3.3219, relative_absolute_error: 0.2682, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1456, root_relative_squared_error: 0.4854, unweighted_recall: 0.8245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.8198, kappa: 0.8006, kb_relative_information_score: 0.8386, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.18, weighted_recall: 0.8205, number_of_instances: 2000, precision: 0.8193, predictive_accuracy: 0.8205, prior_entropy: 3.3219, relative_absolute_error: 0.2605, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1489, root_relative_squared_error: 0.4962, unweighted_recall: 0.8205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.7573, kappa: 0.7428, kb_relative_information_score: 0.4644, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.18, weighted_recall: 0.7685, number_of_instances: 2000, precision: 0.7525, predictive_accuracy: 0.7685, prior_entropy: 3.3219, relative_absolute_error: 0.7648, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2368, root_relative_squared_error: 0.7895, unweighted_recall: 0.7685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.8058, kappa: 0.79, kb_relative_information_score: 0.7824, mean_absolute_error: 0.0664, mean_prior_absolute_error: 0.18, weighted_recall: 0.811, number_of_instances: 2000, precision: 0.8015, predictive_accuracy: 0.811, prior_entropy: 3.3219, relative_absolute_error: 0.3691, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.158, root_relative_squared_error: 0.5266, unweighted_recall: 0.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.8002, kappa: 0.7861, kb_relative_information_score: 0.7415, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.18, weighted_recall: 0.8075, number_of_instances: 2000, precision: 0.7948, predictive_accuracy: 0.8075, prior_entropy: 3.3219, relative_absolute_error: 0.4354, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1674, root_relative_squared_error: 0.5578, unweighted_recall: 0.8075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.818, kappa: 0.7983, kb_relative_information_score: 0.8385, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.18, weighted_recall: 0.8185, number_of_instances: 2000, precision: 0.8179, predictive_accuracy: 0.8185, prior_entropy: 3.3219, relative_absolute_error: 0.2602, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1495, root_relative_squared_error: 0.4984, unweighted_recall: 0.8185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.8201, kappa: 0.8061, kb_relative_information_score: 0.807, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.18, weighted_recall: 0.8255, number_of_instances: 2000, precision: 0.8156, predictive_accuracy: 0.8255, prior_entropy: 3.3219, relative_absolute_error: 0.3273, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1515, root_relative_squared_error: 0.5049, unweighted_recall: 0.8255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.8286, kappa: 0.8122, kb_relative_information_score: 0.8403, mean_absolute_error: 0.0458, mean_prior_absolute_error: 0.18, weighted_recall: 0.831, number_of_instances: 2000, precision: 0.8293, predictive_accuracy: 0.831, prior_entropy: 3.3219, relative_absolute_error: 0.2546, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1503, root_relative_squared_error: 0.501, unweighted_recall: 0.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.8238, kappa: 0.8061, kb_relative_information_score: 0.8404, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.18, weighted_recall: 0.8255, number_of_instances: 2000, precision: 0.8225, predictive_accuracy: 0.8255, prior_entropy: 3.3219, relative_absolute_error: 0.261, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1471, root_relative_squared_error: 0.4902, unweighted_recall: 0.8255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.8056, kappa: 0.7833, kb_relative_information_score: 0.8335, mean_absolute_error: 0.0474, mean_prior_absolute_error: 0.18, weighted_recall: 0.805, number_of_instances: 2000, precision: 0.8066, predictive_accuracy: 0.805, prior_entropy: 3.3219, relative_absolute_error: 0.2635, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1534, root_relative_squared_error: 0.5114, unweighted_recall: 0.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.8217, kappa: 0.8061, kb_relative_information_score: 0.8244, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.18, weighted_recall: 0.8255, number_of_instances: 2000, precision: 0.8183, predictive_accuracy: 0.8255, prior_entropy: 3.3219, relative_absolute_error: 0.2976, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1481, root_relative_squared_error: 0.4938, unweighted_recall: 0.8255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.726, kappa: 0.7089, kb_relative_information_score: 0.3966, mean_absolute_error: 0.1459, mean_prior_absolute_error: 0.18, weighted_recall: 0.738, number_of_instances: 2000, precision: 0.7226, predictive_accuracy: 0.738, prior_entropy: 3.3219, relative_absolute_error: 0.8108, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2501, root_relative_squared_error: 0.8338, unweighted_recall: 0.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.8231, kappa: 0.8067, kb_relative_information_score: 0.8377, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.18, weighted_recall: 0.826, number_of_instances: 2000, precision: 0.8207, predictive_accuracy: 0.826, prior_entropy: 3.3219, relative_absolute_error: 0.2704, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1459, root_relative_squared_error: 0.4863, unweighted_recall: 0.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.7751, kappa: 0.7578, kb_relative_information_score: 0.6646, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.18, weighted_recall: 0.782, number_of_instances: 2000, precision: 0.7707, predictive_accuracy: 0.782, prior_entropy: 3.3219, relative_absolute_error: 0.5432, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1895, root_relative_squared_error: 0.6316, unweighted_recall: 0.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.8193, kappa: 0.8056, kb_relative_information_score: 0.8066, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.18, weighted_recall: 0.825, number_of_instances: 2000, precision: 0.8145, predictive_accuracy: 0.825, prior_entropy: 3.3219, relative_absolute_error: 0.3282, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1516, root_relative_squared_error: 0.5052, unweighted_recall: 0.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.8056, kappa: 0.7833, kb_relative_information_score: 0.8333, mean_absolute_error: 0.0474, mean_prior_absolute_error: 0.18, weighted_recall: 0.805, number_of_instances: 2000, precision: 0.8066, predictive_accuracy: 0.805, prior_entropy: 3.3219, relative_absolute_error: 0.2636, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1535, root_relative_squared_error: 0.5116, unweighted_recall: 0.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.8188, kappa: 0.8006, kb_relative_information_score: 0.8626, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.18, weighted_recall: 0.8205, number_of_instances: 2000, precision: 0.8172, predictive_accuracy: 0.8205, prior_entropy: 3.3219, relative_absolute_error: 0.2061, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1454, root_relative_squared_error: 0.4846, unweighted_recall: 0.8205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.8131, kappa: 0.795, kb_relative_information_score: 0.8565, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.18, weighted_recall: 0.8155, number_of_instances: 2000, precision: 0.811, predictive_accuracy: 0.8155, prior_entropy: 3.3219, relative_absolute_error: 0.2254, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1419, root_relative_squared_error: 0.4731, unweighted_recall: 0.8155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.7812, kappa: 0.7628, kb_relative_information_score: 0.7147, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.18, weighted_recall: 0.7865, number_of_instances: 2000, precision: 0.7774, predictive_accuracy: 0.7865, prior_entropy: 3.3219, relative_absolute_error: 0.4571, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1753, root_relative_squared_error: 0.5844, unweighted_recall: 0.7865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.8126, kappa: 0.7956, kb_relative_information_score: 0.8231, mean_absolute_error: 0.0518, mean_prior_absolute_error: 0.18, weighted_recall: 0.816, number_of_instances: 2000, precision: 0.8095, predictive_accuracy: 0.816, prior_entropy: 3.3219, relative_absolute_error: 0.2876, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1475, root_relative_squared_error: 0.4916, unweighted_recall: 0.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.726, kappa: 0.7089, kb_relative_information_score: 0.3966, mean_absolute_error: 0.1459, mean_prior_absolute_error: 0.18, weighted_recall: 0.738, number_of_instances: 2000, precision: 0.7226, predictive_accuracy: 0.738, prior_entropy: 3.3219, relative_absolute_error: 0.8108, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2501, root_relative_squared_error: 0.8338, unweighted_recall: 0.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.8193, kappa: 0.8056, kb_relative_information_score: 0.8066, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.18, weighted_recall: 0.825, number_of_instances: 2000, precision: 0.8145, predictive_accuracy: 0.825, prior_entropy: 3.3219, relative_absolute_error: 0.3282, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1516, root_relative_squared_error: 0.5052, unweighted_recall: 0.825,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.8193, kappa: 0.8056, kb_relative_information_score: 0.8066, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.18, weighted_recall: 0.825, number_of_instances: 2000, precision: 0.8145, predictive_accuracy: 0.825, prior_entropy: 3.3219, relative_absolute_error: 0.3282, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1516, root_relative_squared_error: 0.5052, unweighted_recall: 0.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.8193, kappa: 0.8056, kb_relative_information_score: 0.8066, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.18, weighted_recall: 0.825, number_of_instances: 2000, precision: 0.8145, predictive_accuracy: 0.825, prior_entropy: 3.3219, relative_absolute_error: 0.3282, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1516, root_relative_squared_error: 0.5052, unweighted_recall: 0.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.8193, kappa: 0.8056, kb_relative_information_score: 0.8066, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.18, weighted_recall: 0.825, number_of_instances: 2000, precision: 0.8145, predictive_accuracy: 0.825, prior_entropy: 3.3219, relative_absolute_error: 0.3282, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1516, root_relative_squared_error: 0.5052, unweighted_recall: 0.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.8238, kappa: 0.8061, kb_relative_information_score: 0.8404, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.18, weighted_recall: 0.8255, number_of_instances: 2000, precision: 0.8225, predictive_accuracy: 0.8255, prior_entropy: 3.3219, relative_absolute_error: 0.261, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1471, root_relative_squared_error: 0.4902, unweighted_recall: 0.8255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.726, kappa: 0.7089, kb_relative_information_score: 0.3966, mean_absolute_error: 0.1459, mean_prior_absolute_error: 0.18, weighted_recall: 0.738, number_of_instances: 2000, precision: 0.7226, predictive_accuracy: 0.738, prior_entropy: 3.3219, relative_absolute_error: 0.8108, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2501, root_relative_squared_error: 0.8338, unweighted_recall: 0.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.8193, kappa: 0.8056, kb_relative_information_score: 0.8066, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.18, weighted_recall: 0.825, number_of_instances: 2000, precision: 0.8145, predictive_accuracy: 0.825, prior_entropy: 3.3219, relative_absolute_error: 0.3282, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1516, root_relative_squared_error: 0.5052, unweighted_recall: 0.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.8062, kappa: 0.7844, kb_relative_information_score: 0.8336, mean_absolute_error: 0.0474, mean_prior_absolute_error: 0.18, weighted_recall: 0.806, number_of_instances: 2000, precision: 0.8067, predictive_accuracy: 0.806, prior_entropy: 3.3219, relative_absolute_error: 0.2633, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1533, root_relative_squared_error: 0.5111, unweighted_recall: 0.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.726, kappa: 0.7089, kb_relative_information_score: 0.3966, mean_absolute_error: 0.1459, mean_prior_absolute_error: 0.18, weighted_recall: 0.738, number_of_instances: 2000, precision: 0.7226, predictive_accuracy: 0.738, prior_entropy: 3.3219, relative_absolute_error: 0.8108, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2501, root_relative_squared_error: 0.8338, unweighted_recall: 0.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.8193, kappa: 0.8056, kb_relative_information_score: 0.8066, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.18, weighted_recall: 0.825, number_of_instances: 2000, precision: 0.8145, predictive_accuracy: 0.825, prior_entropy: 3.3219, relative_absolute_error: 0.3282, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1516, root_relative_squared_error: 0.5052, unweighted_recall: 0.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.8062, kappa: 0.7844, kb_relative_information_score: 0.8336, mean_absolute_error: 0.0474, mean_prior_absolute_error: 0.18, weighted_recall: 0.806, number_of_instances: 2000, precision: 0.8067, predictive_accuracy: 0.806, prior_entropy: 3.3219, relative_absolute_error: 0.2633, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1533, root_relative_squared_error: 0.5111, unweighted_recall: 0.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.726, kappa: 0.7089, kb_relative_information_score: 0.3966, mean_absolute_error: 0.1459, mean_prior_absolute_error: 0.18, weighted_recall: 0.738, number_of_instances: 2000, precision: 0.7226, predictive_accuracy: 0.738, prior_entropy: 3.3219, relative_absolute_error: 0.8108, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2501, root_relative_squared_error: 0.8338, unweighted_recall: 0.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.8193, kappa: 0.8056, kb_relative_information_score: 0.8066, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.18, weighted_recall: 0.825, number_of_instances: 2000, precision: 0.8145, predictive_accuracy: 0.825, prior_entropy: 3.3219, relative_absolute_error: 0.3282, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1516, root_relative_squared_error: 0.5052, unweighted_recall: 0.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.8193, kappa: 0.8056, kb_relative_information_score: 0.8066, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.18, weighted_recall: 0.825, number_of_instances: 2000, precision: 0.8145, predictive_accuracy: 0.825, prior_entropy: 3.3219, relative_absolute_error: 0.3282, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1516, root_relative_squared_error: 0.5052, unweighted_recall: 0.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.8193, kappa: 0.8056, kb_relative_information_score: 0.8066, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.18, weighted_recall: 0.825, number_of_instances: 2000, precision: 0.8145, predictive_accuracy: 0.825, prior_entropy: 3.3219, relative_absolute_error: 0.3282, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1516, root_relative_squared_error: 0.5052, unweighted_recall: 0.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.8231, kappa: 0.8067, kb_relative_information_score: 0.8377, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.18, weighted_recall: 0.826, number_of_instances: 2000, precision: 0.8207, predictive_accuracy: 0.826, prior_entropy: 3.3219, relative_absolute_error: 0.2704, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1459, root_relative_squared_error: 0.4863, unweighted_recall: 0.826,

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