DEVELOPMENT... OpenML
Run
9672

Run 9672

Task 27 (Supervised Classification) colic Uploaded 22-05-2014 by Felicia West
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Flow

weka.LogitBoost_DecisionStump(1)J. Friedman, T. Hastie, R. Tibshirani (1998). Additive Logistic Regression: a Statistical View of Boosting. Stanford University.
weka.LogitBoost_DecisionStump(1)_F0
weka.LogitBoost_DecisionStump(1)_H1.0
weka.LogitBoost_DecisionStump(1)_I40
weka.LogitBoost_DecisionStump(1)_L-1.7976931348623157E308
weka.LogitBoost_DecisionStump(1)_P100
weka.LogitBoost_DecisionStump(1)_R1
weka.LogitBoost_DecisionStump(1)_S1
weka.LogitBoost_DecisionStump(1)_Wweka.classifiers.trees.DecisionStump

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.8479
Per class
F measure
0.8281
Per class
Kappa
0.6298
KB relative information score
186.1917
Mean absolute error
0.2365
Mean prior absolute error
0.4662
Number of instances
368
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8277
Per class
Predictive accuracy
0.8288
Prior entropy
0.9509
Recall
0.8288
Per class
Relative absolute error
0.5074
Root mean prior squared error
0.4827
Root mean squared error
0.3764
Root relative squared error
0.7798
SciMark benchmark
927.5047[572.0697362463844902.1325290212047479.5631016829642916.90802019261121766.8499488170112]