DEVELOPMENT... OpenML
Run
162865

Run 162865

Task 3785 (Supervised Classification) fri_c2_100_50 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
0.9087
Per class
F measure
0.8297
Per class
Kappa
0.6499
KB relative information score
64.3063
Mean absolute error
0.1712
Mean prior absolute error
0.4875
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8296
Per class
Predictive accuracy
0.83
Prior entropy
0.9822
Recall
0.83
Per class
Relative absolute error
0.3512
Root mean prior squared error
0.4936
Root mean squared error
0.3926
Root relative squared error
0.7954
SciMark benchmark
933.8635
UserCPU time millis
60
UserCPU time millis training
60