DEVELOPMENT... OpenML
Run
162666

Run 162666

Task 3587 (Supervised Classification) pwLinear 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
0.9335
Per class
F measure
0.8645
Per class
Kappa
0.729
KB relative information score
142.2467
Mean absolute error
0.1462
Mean prior absolute error
0.4996
Number of instances
200
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8676
Per class
Predictive accuracy
0.865
Prior entropy
0.9994
Recall
0.865
Per class
Relative absolute error
0.2926
Root mean prior squared error
0.4998
Root mean squared error
0.3368
Root relative squared error
0.6739
SciMark benchmark
922.9039
UserCPU time millis
10
UserCPU time millis training
10