DEVELOPMENT... OpenML
Run
161422

Run 161422

Task 11 (Supervised Classification) balance-scale 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
0.8542
Per class
F measure
0.6967
Per class
Kappa
0.4926
KB relative information score
262.6374
Mean absolute error
0.2134
Mean prior absolute error
0.3798
Number of instances
625
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6696
Per class
Predictive accuracy
0.7264
Prior entropy
1.3212
Recall
0.7264
Per class
Relative absolute error
0.5618
Root mean prior squared error
0.4356
Root mean squared error
0.3572
Root relative squared error
0.82
SciMark benchmark
933.8635
UserCPU time millis
10
UserCPU time millis training
10