DEVELOPMENT... OpenML
Run
163439

Run 163439

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)_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
0.9119
Per class
F measure
0.8237
Per class
Kappa
0.6436
KB relative information score
158.3416
Mean absolute error
0.1815
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
0.8238
Per class
Predictive accuracy
0.824
Prior entropy
0.9934
Recall
0.824
Per class
Relative absolute error
0.3663
Root mean prior squared error
0.4977
Root mean squared error
0.3772
Root relative squared error
0.7578
SciMark benchmark
911.3823
UserCPU time millis
210
UserCPU time millis training
210