DEVELOPMENT... OpenML
Run
163472

Run 163472

Task 3662 (Supervised Classification) fri_c4_1000_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)_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
0.9148
Per class
F measure
0.8244
Per class
Kappa
0.6429
KB relative information score
626.9712
Mean absolute error
0.1851
Mean prior absolute error
0.4928
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8247
Per class
Predictive accuracy
0.825
Prior entropy
0.9896
Recall
0.825
Per class
Relative absolute error
0.3756
Root mean prior squared error
0.4964
Root mean squared error
0.3672
Root relative squared error
0.7397
SciMark benchmark
938.2848
UserCPU time millis
870
UserCPU time millis training
870