DEVELOPMENT... OpenML
Run
163113

Run 163113

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)_I40
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
0.8645
Per class
F measure
0.8372
Per class
Kappa
0.6512
KB relative information score
225.4332
Mean absolute error
0.1783
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
0.8375
Per class
Predictive accuracy
0.837
Prior entropy
0.9509
Recall
0.837
Per class
Relative absolute error
0.3824
Root mean prior squared error
0.4827
Root mean squared error
0.3851
Root relative squared error
0.7979
SciMark benchmark
876.8277
UserCPU time millis
60
UserCPU time millis training
60