DEVELOPMENT... OpenML
Run
164955

Run 164955

Task 3021 (Supervised Classification) sick Uploaded 17-02-2015 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)_I160
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
0.9628
Per class
F measure
0.9744
Per class
Kappa
0.7859
KB relative information score
2450.5715
Mean absolute error
0.027
Mean prior absolute error
0.1152
Number of instances
3772
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.976
Per class
Predictive accuracy
0.9735
Prior entropy
0.3333
Recall
0.9735
Per class
Relative absolute error
0.2348
Root mean prior squared error
0.2398
Root mean squared error
0.1565
Root relative squared error
0.6529
SciMark benchmark
911.3823
UserCPU time millis
1600
UserCPU time millis testing
20
UserCPU time millis training
1580