DEVELOPMENT... OpenML
Run
163532

Run 163532

Task 3726 (Supervised Classification) sleuth_ex2016 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
0.7981
Per class
F measure
0.7238
Per class
Kappa
0.4467
KB relative information score
39.3898
Mean absolute error
0.2752
Mean prior absolute error
0.4994
Number of instances
87
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7242
Per class
Predictive accuracy
0.7241
Prior entropy
0.9992
Recall
0.7241
Per class
Relative absolute error
0.551
Root mean prior squared error
0.4997
Root mean squared error
0.4832
Root relative squared error
0.967
SciMark benchmark
911.3823
UserCPU time millis
10
UserCPU time millis training
10