DEVELOPMENT... OpenML
Run
161999

Run 161999

Task 3635 (Supervised Classification) fri_c1_250_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)_I10
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
0.82
Per class
F measure
0.7639
Per class
Kappa
0.5232
KB relative information score
124.6502
Mean absolute error
0.2509
Mean prior absolute error
0.4954
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
0.7638
Per class
Predictive accuracy
0.764
Prior entropy
0.9934
Recall
0.764
Per class
Relative absolute error
0.5065
Root mean prior squared error
0.4977
Root mean squared error
0.4412
Root relative squared error
0.8864
SciMark benchmark
938.4285
UserCPU time millis
40
UserCPU time millis training
40