DEVELOPMENT... OpenML
Run
163499

Run 163499

Task 3695 (Supervised Classification) fri_c2_250_10 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
0.9292
Per class
F measure
0.8962
Per class
Kappa
0.7764
KB relative information score
189.0535
Mean absolute error
0.1102
Mean prior absolute error
0.4633
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8966
Per class
Predictive accuracy
0.896
Prior entropy
0.9468
Recall
0.896
Per class
Relative absolute error
0.2379
Root mean prior squared error
0.4812
Root mean squared error
0.3073
Root relative squared error
0.6386
SciMark benchmark
942.1229
UserCPU time millis
40
UserCPU time millis training
40