DEVELOPMENT... OpenML
Run
164344

Run 164344

Task 3808 (Supervised Classification) kidney 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)_I80
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
0.8271
Per class
F measure
0.7368
Per class
Kappa
0.4751
KB relative information score
36.2703
Mean absolute error
0.2618
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
0.7409
Per class
Predictive accuracy
0.7368
Prior entropy
0.9981
Recall
0.7368
Per class
Relative absolute error
0.525
Root mean prior squared error
0.4993
Root mean squared error
0.482
Root relative squared error
0.9652
SciMark benchmark
943.2817
UserCPU time millis
10
UserCPU time millis training
10