DEVELOPMENT... OpenML
Run
162387

Run 162387

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)_I20
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
0.8604
Per class
F measure
0.8266
Per class
Kappa
0.629
KB relative information score
218.5617
Mean absolute error
0.1863
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
0.8273
Per class
Predictive accuracy
0.8261
Prior entropy
0.9509
Recall
0.8261
Per class
Relative absolute error
0.3996
Root mean prior squared error
0.4827
Root mean squared error
0.3902
Root relative squared error
0.8084
SciMark benchmark
939.7623
UserCPU time millis
20
UserCPU time millis training
20