DEVELOPMENT... OpenML
Run
162890

Run 162890

Task 3808 (Supervised Classification) kidney 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
0.8149
Per class
F measure
0.7633
Per class
Kappa
0.5263
KB relative information score
37.3435
Mean absolute error
0.2558
Mean prior absolute error
0.4987
Number of instances
76
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7645
Per class
Predictive accuracy
0.7632
Prior entropy
0.9981
Recall
0.7632
Per class
Relative absolute error
0.513
Root mean prior squared error
0.4993
Root mean squared error
0.4686
Root relative squared error
0.9385
SciMark benchmark
922.9039
UserCPU time millis
10
UserCPU time millis training
10