DEVELOPMENT... OpenML
Run
162812

Run 162812

Task 3732 (Supervised Classification) fri_c4_100_25 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)_I20
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
0.8442
Per class
F measure
0.7483
Per class
Kappa
0.4927
KB relative information score
49.4219
Mean absolute error
0.2513
Mean prior absolute error
0.4969
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7505
Per class
Predictive accuracy
0.75
Prior entropy
0.9956
Recall
0.75
Per class
Relative absolute error
0.5057
Root mean prior squared error
0.4984
Root mean squared error
0.4621
Root relative squared error
0.9272
SciMark benchmark
933.8635
UserCPU time millis
30
UserCPU time millis training
30