DEVELOPMENT... OpenML
Run
161809

Run 161809

Task 3021 (Supervised Classification) sick 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)_I10
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
0.9622
Per class
F measure
0.9679
Per class
Kappa
0.742
KB relative information score
2157.2615
Mean absolute error
0.0344
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
0.9725
Per class
Predictive accuracy
0.9655
Prior entropy
0.3333
Recall
0.9655
Per class
Relative absolute error
0.2987
Root mean prior squared error
0.2398
Root mean squared error
0.1847
Root relative squared error
0.7701
SciMark benchmark
938.4285
UserCPU time millis
100
UserCPU time millis testing
10
UserCPU time millis training
90