DEVELOPMENT... OpenML
Run
163845

Run 163845

Task 27 (Supervised Classification) colic Uploaded 16-02-2015 by Felicia West
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Flow

weka.MultiBoostAB_DecisionStump(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(2)_C3
weka.MultiBoostAB_DecisionStump(2)_I80
weka.MultiBoostAB_DecisionStump(2)_P100
weka.MultiBoostAB_DecisionStump(2)_S1
weka.MultiBoostAB_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

Result files

xml
Description

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

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

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

22 Evaluation measures

Area under ROC curve
0.8631
Per class
F measure
0.8232
Per class
Kappa
0.6204
KB relative information score
223.5928
Mean absolute error
0.1787
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
0.8231
Per class
Predictive accuracy
0.8234
Prior entropy
0.9509
Recall
0.8234
Per class
Relative absolute error
0.3834
Root mean prior squared error
0.4827
Root mean squared error
0.3854
Root relative squared error
0.7985
SciMark benchmark
926.6717
UserCPU time millis
80
UserCPU time millis training
80