OpenML
Supervised Classification on mnist_784

Supervised Classification on mnist_784

Task 3573 Supervised Classification mnist_784 13167 runs submitted
0 likes downloaded by 7 people , 9 total downloads 0 issues
Visibility: Public
  • OpenML-CC18 OpenML100 study_1 study_123 study_41 study_99 under100k vision
Issue #Downvotes for this reason By


Metric:

13167 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.8753, kappa: 0.8616, kb_relative_information_score: 60978.7475, mean_absolute_error: 0.0285, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8753, predictive_accuracy: 0.8755, prior_entropy: 3.3198, recall: 0.8755, relative_absolute_error: 0.1586, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1396, root_relative_squared_error: 0.4654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.8737, kappa: 0.8597, kb_relative_information_score: 60586.9844, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8737, predictive_accuracy: 0.8738, prior_entropy: 3.3198, recall: 0.8738, relative_absolute_error: 0.1748, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1376, root_relative_squared_error: 0.4588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.8812, kappa: 0.8681, kb_relative_information_score: 61373.7738, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8812, predictive_accuracy: 0.8813, prior_entropy: 3.3198, recall: 0.8813, relative_absolute_error: 0.1535, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1368, root_relative_squared_error: 0.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.8795, kappa: 0.8662, kb_relative_information_score: 61147.9844, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8794, predictive_accuracy: 0.8796, prior_entropy: 3.3198, recall: 0.8796, relative_absolute_error: 0.1599, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1369, root_relative_squared_error: 0.4563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.8751, kappa: 0.8613, kb_relative_information_score: 60811.8798, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.875, predictive_accuracy: 0.8752, prior_entropy: 3.3198, recall: 0.8752, relative_absolute_error: 0.1627, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1396, root_relative_squared_error: 0.4654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, f_measure: 0.8829, kappa: 0.8699, kb_relative_information_score: 61696.7897, mean_absolute_error: 0.0255, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8828, predictive_accuracy: 0.883, prior_entropy: 3.3198, recall: 0.883, relative_absolute_error: 0.1416, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1388, root_relative_squared_error: 0.4627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.8699, kappa: 0.8555, kb_relative_information_score: 60259.1231, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8699, predictive_accuracy: 0.87, prior_entropy: 3.3198, recall: 0.87, relative_absolute_error: 0.1821, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1389, root_relative_squared_error: 0.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.8817, kappa: 0.8687, kb_relative_information_score: 61729.5334, mean_absolute_error: 0.0245, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8817, predictive_accuracy: 0.8819, prior_entropy: 3.3198, recall: 0.8819, relative_absolute_error: 0.1359, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1417, root_relative_squared_error: 0.4723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.8686, kappa: 0.8541, kb_relative_information_score: 60186.9532, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8685, predictive_accuracy: 0.8687, prior_entropy: 3.3198, recall: 0.8687, relative_absolute_error: 0.1782, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1404, root_relative_squared_error: 0.4681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.8691, kappa: 0.8547, kb_relative_information_score: 60278.4782, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.869, predictive_accuracy: 0.8693, prior_entropy: 3.3198, recall: 0.8693, relative_absolute_error: 0.1757, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1404, root_relative_squared_error: 0.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.8763, kappa: 0.8626, kb_relative_information_score: 60867.9894, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8763, predictive_accuracy: 0.8764, prior_entropy: 3.3198, recall: 0.8764, relative_absolute_error: 0.1681, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1372, root_relative_squared_error: 0.4574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, f_measure: 0.8825, kappa: 0.8696, kb_relative_information_score: 61492.8304, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8824, predictive_accuracy: 0.8827, prior_entropy: 3.3198, recall: 0.8827, relative_absolute_error: 0.1306, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1498, root_relative_squared_error: 0.4993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.8748, kappa: 0.8609, kb_relative_information_score: 60761.8448, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8747, predictive_accuracy: 0.8749, prior_entropy: 3.3198, recall: 0.8749, relative_absolute_error: 0.1704, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1374, root_relative_squared_error: 0.4582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.8734, kappa: 0.8594, kb_relative_information_score: 60571.0001, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8734, predictive_accuracy: 0.8735, prior_entropy: 3.3198, recall: 0.8735, relative_absolute_error: 0.1752, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1377, root_relative_squared_error: 0.4591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.8742, kappa: 0.8602, kb_relative_information_score: 60666.4656, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8741, predictive_accuracy: 0.8743, prior_entropy: 3.3198, recall: 0.8743, relative_absolute_error: 0.1729, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1375, root_relative_squared_error: 0.4583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.8628, kappa: 0.8477, kb_relative_information_score: 59584.2169, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8628, predictive_accuracy: 0.8629, prior_entropy: 3.3198, recall: 0.8629, relative_absolute_error: 0.1922, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1417, root_relative_squared_error: 0.4724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.8687, kappa: 0.8542, kb_relative_information_score: 60218.833, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8686, predictive_accuracy: 0.8688, prior_entropy: 3.3198, recall: 0.8688, relative_absolute_error: 0.1777, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1401, root_relative_squared_error: 0.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.8752, kappa: 0.8614, kb_relative_information_score: 60789.789, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8751, predictive_accuracy: 0.8753, prior_entropy: 3.3198, recall: 0.8753, relative_absolute_error: 0.17, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1372, root_relative_squared_error: 0.4573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, f_measure: 0.882, kappa: 0.8691, kb_relative_information_score: 61711.5775, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.882, predictive_accuracy: 0.8823, prior_entropy: 3.3198, recall: 0.8823, relative_absolute_error: 0.1326, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1448, root_relative_squared_error: 0.4826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.871, kappa: 0.8566, kb_relative_information_score: 60343.3767, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.871, predictive_accuracy: 0.871, prior_entropy: 3.3198, recall: 0.871, relative_absolute_error: 0.18, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1387, root_relative_squared_error: 0.4625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.8833, kappa: 0.8704, kb_relative_information_score: 61640.0726, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8833, predictive_accuracy: 0.8834, prior_entropy: 3.3198, recall: 0.8834, relative_absolute_error: 0.1443, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.4613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.8618, kappa: 0.8465, kb_relative_information_score: 59463.4838, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8617, predictive_accuracy: 0.8619, prior_entropy: 3.3198, recall: 0.8619, relative_absolute_error: 0.1945, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1422, root_relative_squared_error: 0.4742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.8778, kappa: 0.8643, kb_relative_information_score: 60976.1414, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8778, predictive_accuracy: 0.8779, prior_entropy: 3.3198, recall: 0.8779, relative_absolute_error: 0.1655, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1369, root_relative_squared_error: 0.4565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.8768, kappa: 0.8632, kb_relative_information_score: 61014.1933, mean_absolute_error: 0.0284, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8767, predictive_accuracy: 0.8769, prior_entropy: 3.3198, recall: 0.8769, relative_absolute_error: 0.1579, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1396, root_relative_squared_error: 0.4654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.8695, kappa: 0.8551, kb_relative_information_score: 60287.8081, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8694, predictive_accuracy: 0.8696, prior_entropy: 3.3198, recall: 0.8696, relative_absolute_error: 0.1755, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1403, root_relative_squared_error: 0.4677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.8763, kappa: 0.8627, kb_relative_information_score: 61226.6684, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8762, predictive_accuracy: 0.8765, prior_entropy: 3.3198, recall: 0.8765, relative_absolute_error: 0.1493, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1424, root_relative_squared_error: 0.4748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9426, f_measure: 0.8821, kappa: 0.8692, kb_relative_information_score: 61683.0588, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.882, predictive_accuracy: 0.8823, prior_entropy: 3.3198, recall: 0.8823, relative_absolute_error: 0.1318, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1458, root_relative_squared_error: 0.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.8765, kappa: 0.8628, kb_relative_information_score: 60995.1696, mean_absolute_error: 0.0284, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8764, predictive_accuracy: 0.8766, prior_entropy: 3.3198, recall: 0.8766, relative_absolute_error: 0.158, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1399, root_relative_squared_error: 0.4663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.8709, kappa: 0.8566, kb_relative_information_score: 60339.8782, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8709, predictive_accuracy: 0.871, prior_entropy: 3.3198, recall: 0.871, relative_absolute_error: 0.18, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1388, root_relative_squared_error: 0.4627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.8616, kappa: 0.8463, kb_relative_information_score: 59466.7899, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8616, predictive_accuracy: 0.8617, prior_entropy: 3.3198, recall: 0.8617, relative_absolute_error: 0.1944, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1422, root_relative_squared_error: 0.4742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.8712, kappa: 0.857, kb_relative_information_score: 60439.7761, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8711, predictive_accuracy: 0.8714, prior_entropy: 3.3198, recall: 0.8714, relative_absolute_error: 0.1721, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1398, root_relative_squared_error: 0.4662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9574, f_measure: 0.8837, kappa: 0.8708, kb_relative_information_score: 61688.6333, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8836, predictive_accuracy: 0.8838, prior_entropy: 3.3198, recall: 0.8838, relative_absolute_error: 0.1436, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1379, root_relative_squared_error: 0.4596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.8693, kappa: 0.8549, kb_relative_information_score: 60287.1281, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8692, predictive_accuracy: 0.8694, prior_entropy: 3.3198, recall: 0.8694, relative_absolute_error: 0.1755, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1403, root_relative_squared_error: 0.4676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9617, f_measure: 0.8751, kappa: 0.8613, kb_relative_information_score: 60836.4682, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.875, predictive_accuracy: 0.8752, prior_entropy: 3.3198, recall: 0.8752, relative_absolute_error: 0.162, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1398, root_relative_squared_error: 0.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.8723, kappa: 0.8581, kb_relative_information_score: 60465.3441, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8723, predictive_accuracy: 0.8724, prior_entropy: 3.3198, recall: 0.8724, relative_absolute_error: 0.1777, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1381, root_relative_squared_error: 0.4604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.8687, kappa: 0.8542, kb_relative_information_score: 60198.2612, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8686, predictive_accuracy: 0.8689, prior_entropy: 3.3198, recall: 0.8689, relative_absolute_error: 0.178, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1402, root_relative_squared_error: 0.4675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.8734, kappa: 0.8595, kb_relative_information_score: 61064.8551, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8734, predictive_accuracy: 0.8736, prior_entropy: 3.3198, recall: 0.8736, relative_absolute_error: 0.152, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1421, root_relative_squared_error: 0.4738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.8736, kappa: 0.8596, kb_relative_information_score: 60691.9408, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8735, predictive_accuracy: 0.8737, prior_entropy: 3.3198, recall: 0.8737, relative_absolute_error: 0.1655, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1398, root_relative_squared_error: 0.4662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.8793, kappa: 0.866, kb_relative_information_score: 61149.9196, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8793, predictive_accuracy: 0.8794, prior_entropy: 3.3198, recall: 0.8794, relative_absolute_error: 0.1598, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1368, root_relative_squared_error: 0.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.8827, kappa: 0.8698, kb_relative_information_score: 61670.8438, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8826, predictive_accuracy: 0.8828, prior_entropy: 3.3198, recall: 0.8828, relative_absolute_error: 0.135, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1429, root_relative_squared_error: 0.4762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.872, kappa: 0.8578, kb_relative_information_score: 60458.5318, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.872, predictive_accuracy: 0.8721, prior_entropy: 3.3198, recall: 0.8721, relative_absolute_error: 0.1778, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1381, root_relative_squared_error: 0.4604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.8764, kappa: 0.8629, kb_relative_information_score: 61204.5682, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8763, predictive_accuracy: 0.8766, prior_entropy: 3.3198, recall: 0.8766, relative_absolute_error: 0.1513, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1416, root_relative_squared_error: 0.4721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.8761, kappa: 0.8624, kb_relative_information_score: 60983.0315, mean_absolute_error: 0.0285, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.876, predictive_accuracy: 0.8762, prior_entropy: 3.3198, recall: 0.8762, relative_absolute_error: 0.1586, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1396, root_relative_squared_error: 0.4653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9593, f_measure: 0.8817, kappa: 0.8686, kb_relative_information_score: 61600.1562, mean_absolute_error: 0.0262, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8817, predictive_accuracy: 0.8817, prior_entropy: 3.3198, recall: 0.8817, relative_absolute_error: 0.1454, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1377, root_relative_squared_error: 0.4592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.881, kappa: 0.8678, kb_relative_information_score: 61458.4463, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.881, predictive_accuracy: 0.8811, prior_entropy: 3.3198, recall: 0.8811, relative_absolute_error: 0.1507, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1371, root_relative_squared_error: 0.4572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, f_measure: 0.8835, kappa: 0.8706, kb_relative_information_score: 61672.9535, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8835, predictive_accuracy: 0.8836, prior_entropy: 3.3198, recall: 0.8836, relative_absolute_error: 0.1445, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1375, root_relative_squared_error: 0.4584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.8761, kappa: 0.8625, kb_relative_information_score: 61223.5726, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.876, predictive_accuracy: 0.8763, prior_entropy: 3.3198, recall: 0.8763, relative_absolute_error: 0.1484, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1426, root_relative_squared_error: 0.4755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.8639, kappa: 0.8489, kb_relative_information_score: 59673.5818, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8639, predictive_accuracy: 0.8641, prior_entropy: 3.3198, recall: 0.8641, relative_absolute_error: 0.1901, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1415, root_relative_squared_error: 0.4716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.8649, kappa: 0.8501, kb_relative_information_score: 59809.8702, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8648, predictive_accuracy: 0.8651, prior_entropy: 3.3198, recall: 0.8651, relative_absolute_error: 0.1874, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1408, root_relative_squared_error: 0.4695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.8639, kappa: 0.8489, kb_relative_information_score: 59670.4176, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8638, predictive_accuracy: 0.8641, prior_entropy: 3.3198, recall: 0.8641, relative_absolute_error: 0.1902, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1415, root_relative_squared_error: 0.4718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.8811, kappa: 0.8679, kb_relative_information_score: 61383.2771, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8811, predictive_accuracy: 0.8811, prior_entropy: 3.3198, recall: 0.8811, relative_absolute_error: 0.1534, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1367, root_relative_squared_error: 0.4558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.8751, kappa: 0.8613, kb_relative_information_score: 60776.2736, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8751, predictive_accuracy: 0.8752, prior_entropy: 3.3198, recall: 0.8752, relative_absolute_error: 0.1703, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1372, root_relative_squared_error: 0.4574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.8775, kappa: 0.864, kb_relative_information_score: 61163.511, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8774, predictive_accuracy: 0.8776, prior_entropy: 3.3198, recall: 0.8776, relative_absolute_error: 0.1536, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1399, root_relative_squared_error: 0.4665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.8629, kappa: 0.8478, kb_relative_information_score: 59591.7201, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8629, predictive_accuracy: 0.8631, prior_entropy: 3.3198, recall: 0.8631, relative_absolute_error: 0.192, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1416, root_relative_squared_error: 0.4722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9362, f_measure: 0.8748, kappa: 0.861, kb_relative_information_score: 60981.619, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8747, predictive_accuracy: 0.875, prior_entropy: 3.3198, recall: 0.875, relative_absolute_error: 0.1407, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1522, root_relative_squared_error: 0.5075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.8711, kappa: 0.857, kb_relative_information_score: 60439.6379, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.871, predictive_accuracy: 0.8713, prior_entropy: 3.3198, recall: 0.8713, relative_absolute_error: 0.1721, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1399, root_relative_squared_error: 0.4663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.8772, kappa: 0.8637, kb_relative_information_score: 61319.3631, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8771, predictive_accuracy: 0.8774, prior_entropy: 3.3198, recall: 0.8774, relative_absolute_error: 0.1468, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1429, root_relative_squared_error: 0.4764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.8824, kappa: 0.8694, kb_relative_information_score: 61548.8655, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8824, predictive_accuracy: 0.8825, prior_entropy: 3.3198, recall: 0.8825, relative_absolute_error: 0.1492, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1365, root_relative_squared_error: 0.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9538, f_measure: 0.8828, kappa: 0.8699, kb_relative_information_score: 61724.9785, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8827, predictive_accuracy: 0.8829, prior_entropy: 3.3198, recall: 0.8829, relative_absolute_error: 0.14, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1395, root_relative_squared_error: 0.4652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.8721, kappa: 0.8579, kb_relative_information_score: 60460.0761, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8721, predictive_accuracy: 0.8721, prior_entropy: 3.3198, recall: 0.8721, relative_absolute_error: 0.1777, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1381, root_relative_squared_error: 0.4603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.864, kappa: 0.849, kb_relative_information_score: 59683.9399, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8639, predictive_accuracy: 0.8642, prior_entropy: 3.3198, recall: 0.8642, relative_absolute_error: 0.1899, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.4713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.8751, kappa: 0.8613, kb_relative_information_score: 60840.3665, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.875, predictive_accuracy: 0.8752, prior_entropy: 3.3198, recall: 0.8752, relative_absolute_error: 0.1619, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1397, root_relative_squared_error: 0.4658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.8764, kappa: 0.8627, kb_relative_information_score: 60858.289, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8763, predictive_accuracy: 0.8765, prior_entropy: 3.3198, recall: 0.8765, relative_absolute_error: 0.1682, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1373, root_relative_squared_error: 0.4577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, f_measure: 0.8752, kappa: 0.8615, kb_relative_information_score: 61108.256, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8752, predictive_accuracy: 0.8754, prior_entropy: 3.3198, recall: 0.8754, relative_absolute_error: 0.1531, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1409, root_relative_squared_error: 0.4697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.8699, kappa: 0.8555, kb_relative_information_score: 60250.3538, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8699, predictive_accuracy: 0.87, prior_entropy: 3.3198, recall: 0.87, relative_absolute_error: 0.1823, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.139, root_relative_squared_error: 0.4633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.8651, kappa: 0.8502, kb_relative_information_score: 59887.4783, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.865, predictive_accuracy: 0.8653, prior_entropy: 3.3198, recall: 0.8653, relative_absolute_error: 0.1853, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1408, root_relative_squared_error: 0.4693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.8651, kappa: 0.8503, kb_relative_information_score: 59881.4259, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8651, predictive_accuracy: 0.8653, prior_entropy: 3.3198, recall: 0.8653, relative_absolute_error: 0.1855, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1408, root_relative_squared_error: 0.4695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.8752, kappa: 0.8615, kb_relative_information_score: 60849.548, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8752, predictive_accuracy: 0.8754, prior_entropy: 3.3198, recall: 0.8754, relative_absolute_error: 0.1619, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1396, root_relative_squared_error: 0.4654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.8697, kappa: 0.8553, kb_relative_information_score: 60258.9015, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8697, predictive_accuracy: 0.8698, prior_entropy: 3.3198, recall: 0.8698, relative_absolute_error: 0.182, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.139, root_relative_squared_error: 0.4633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, f_measure: 0.8681, kappa: 0.8535, kb_relative_information_score: 60093.6607, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.868, predictive_accuracy: 0.8682, prior_entropy: 3.3198, recall: 0.8682, relative_absolute_error: 0.1807, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1403, root_relative_squared_error: 0.4678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, f_measure: 0.8819, kappa: 0.8688, kb_relative_information_score: 61532.9999, mean_absolute_error: 0.0266, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8819, predictive_accuracy: 0.882, prior_entropy: 3.3198, recall: 0.882, relative_absolute_error: 0.1478, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1377, root_relative_squared_error: 0.4591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.8755, kappa: 0.8618, kb_relative_information_score: 60873.04, mean_absolute_error: 0.029, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8755, predictive_accuracy: 0.8756, prior_entropy: 3.3198, recall: 0.8756, relative_absolute_error: 0.1613, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1395, root_relative_squared_error: 0.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.8817, kappa: 0.8685, kb_relative_information_score: 61560.2962, mean_absolute_error: 0.0266, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8817, predictive_accuracy: 0.8817, prior_entropy: 3.3198, recall: 0.8817, relative_absolute_error: 0.1478, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1372, root_relative_squared_error: 0.4574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.8794, kappa: 0.8661, kb_relative_information_score: 61177.5977, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8794, predictive_accuracy: 0.8795, prior_entropy: 3.3198, recall: 0.8795, relative_absolute_error: 0.1594, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1365, root_relative_squared_error: 0.4551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.8746, kappa: 0.8608, kb_relative_information_score: 60765.2515, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8746, predictive_accuracy: 0.8748, prior_entropy: 3.3198, recall: 0.8748, relative_absolute_error: 0.1705, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1373, root_relative_squared_error: 0.4579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.8648, kappa: 0.8499, kb_relative_information_score: 59809.5651, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8647, predictive_accuracy: 0.865, prior_entropy: 3.3198, recall: 0.865, relative_absolute_error: 0.1873, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1409, root_relative_squared_error: 0.4697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.8734, kappa: 0.8594, kb_relative_information_score: 60559.5882, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8734, predictive_accuracy: 0.8735, prior_entropy: 3.3198, recall: 0.8735, relative_absolute_error: 0.1752, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1379, root_relative_squared_error: 0.4596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.8815, kappa: 0.8683, kb_relative_information_score: 61383.0089, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8814, predictive_accuracy: 0.8815, prior_entropy: 3.3198, recall: 0.8815, relative_absolute_error: 0.1535, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1366, root_relative_squared_error: 0.4555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.8667, kappa: 0.852, kb_relative_information_score: 59962.349, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8666, predictive_accuracy: 0.8669, prior_entropy: 3.3198, recall: 0.8669, relative_absolute_error: 0.1836, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1407, root_relative_squared_error: 0.4692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.8639, kappa: 0.8489, kb_relative_information_score: 59675.4372, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8638, predictive_accuracy: 0.8641, prior_entropy: 3.3198, recall: 0.8641, relative_absolute_error: 0.1901, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.4715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.8826, kappa: 0.8695, kb_relative_information_score: 61572.1298, mean_absolute_error: 0.0266, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8826, predictive_accuracy: 0.8826, prior_entropy: 3.3198, recall: 0.8826, relative_absolute_error: 0.1479, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.137, root_relative_squared_error: 0.4567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, f_measure: 0.8837, kappa: 0.8709, kb_relative_information_score: 61804.2422, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8836, predictive_accuracy: 0.8838, prior_entropy: 3.3198, recall: 0.8838, relative_absolute_error: 0.1368, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1406, root_relative_squared_error: 0.4688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.8832, kappa: 0.8703, kb_relative_information_score: 61650.0357, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8832, predictive_accuracy: 0.8833, prior_entropy: 3.3198, recall: 0.8833, relative_absolute_error: 0.1441, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.4613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.8694, kappa: 0.855, kb_relative_information_score: 60291.278, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8693, predictive_accuracy: 0.8696, prior_entropy: 3.3198, recall: 0.8696, relative_absolute_error: 0.1755, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1403, root_relative_squared_error: 0.4676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.8811, kappa: 0.868, kb_relative_information_score: 61500.0914, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8811, predictive_accuracy: 0.8812, prior_entropy: 3.3198, recall: 0.8812, relative_absolute_error: 0.1493, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1373, root_relative_squared_error: 0.4579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9594, f_measure: 0.8817, kappa: 0.8686, kb_relative_information_score: 61607.8451, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8817, predictive_accuracy: 0.8818, prior_entropy: 3.3198, recall: 0.8818, relative_absolute_error: 0.1459, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1376, root_relative_squared_error: 0.4586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.8777, kappa: 0.8642, kb_relative_information_score: 61051.7627, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8777, predictive_accuracy: 0.8778, prior_entropy: 3.3198, recall: 0.8778, relative_absolute_error: 0.1629, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.137, root_relative_squared_error: 0.4567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.8711, kappa: 0.857, kb_relative_information_score: 60422.3629, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.871, predictive_accuracy: 0.8713, prior_entropy: 3.3198, recall: 0.8713, relative_absolute_error: 0.1725, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.14, root_relative_squared_error: 0.4666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.8802, kappa: 0.867, kb_relative_information_score: 61264.186, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8802, predictive_accuracy: 0.8803, prior_entropy: 3.3198, recall: 0.8803, relative_absolute_error: 0.1566, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1368, root_relative_squared_error: 0.4559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.8711, kappa: 0.8568, kb_relative_information_score: 60344.5059, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8711, predictive_accuracy: 0.8712, prior_entropy: 3.3198, recall: 0.8712, relative_absolute_error: 0.1799, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1387, root_relative_squared_error: 0.4623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, f_measure: 0.8768, kappa: 0.8633, kb_relative_information_score: 61322.2817, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8768, predictive_accuracy: 0.877, prior_entropy: 3.3198, recall: 0.877, relative_absolute_error: 0.1433, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1456, root_relative_squared_error: 0.4853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.8813, kappa: 0.8683, kb_relative_information_score: 61607.7239, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8812, predictive_accuracy: 0.8815, prior_entropy: 3.3198, recall: 0.8815, relative_absolute_error: 0.132, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1471, root_relative_squared_error: 0.4904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.8627, kappa: 0.8475, kb_relative_information_score: 59578.1562, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8626, predictive_accuracy: 0.8628, prior_entropy: 3.3198, recall: 0.8628, relative_absolute_error: 0.1922, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1418, root_relative_squared_error: 0.4728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.8711, kappa: 0.8569, kb_relative_information_score: 60436.0653, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.871, predictive_accuracy: 0.8713, prior_entropy: 3.3198, recall: 0.8713, relative_absolute_error: 0.1721, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.14, root_relative_squared_error: 0.4667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.8815, kappa: 0.8684, kb_relative_information_score: 61521.8819, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8815, predictive_accuracy: 0.8816, prior_entropy: 3.3198, recall: 0.8816, relative_absolute_error: 0.1489, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1371, root_relative_squared_error: 0.4572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.874, kappa: 0.8601, kb_relative_information_score: 60948.8851, mean_absolute_error: 0.0283, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.874, predictive_accuracy: 0.8742, prior_entropy: 3.3198, recall: 0.8742, relative_absolute_error: 0.1574, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1403, root_relative_squared_error: 0.4678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.8742, kappa: 0.8603, kb_relative_information_score: 60909.4417, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8743, predictive_accuracy: 0.8743, prior_entropy: 3.3198, recall: 0.8743, relative_absolute_error: 0.1592, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.14, root_relative_squared_error: 0.4667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.865, kappa: 0.8501, kb_relative_information_score: 59819.8066, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8649, predictive_accuracy: 0.8652, prior_entropy: 3.3198, recall: 0.8652, relative_absolute_error: 0.1872, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1407, root_relative_squared_error: 0.4692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.8798, kappa: 0.8665, kb_relative_information_score: 61248.6646, mean_absolute_error: 0.0283, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8798, predictive_accuracy: 0.8799, prior_entropy: 3.3198, recall: 0.8799, relative_absolute_error: 0.157, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1368, root_relative_squared_error: 0.4562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.8638, kappa: 0.8488, kb_relative_information_score: 59667.9654, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8637, predictive_accuracy: 0.864, prior_entropy: 3.3198, recall: 0.864, relative_absolute_error: 0.1902, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1416, root_relative_squared_error: 0.472,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

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

OpenML APIs