DEVELOPMENT... OpenML
Run
44228

Run 44228

Task 3634 (Supervised Classification) fri_c3_100_25 Uploaded 29-10-2014 by Felicia West
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Flow

weka.MultiBoostAB_ADTree(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_C3
weka.MultiBoostAB_ADTree(2)_P100
weka.MultiBoostAB_ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_I160
weka.MultiBoostAB_ADTree(2)_Wweka.classifiers.trees.ADTree

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.

21 Evaluation measures

Area under ROC curve
0.8349
Per class
Build CPU time
1.5971
Build memory
797866632.8
F measure
0.8
Per class
Kappa
0.596
KB relative information score
58.4938
Mean absolute error
0.2068
Mean prior absolute error
0.4951
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
0.8
Per class
Predictive accuracy
0.8
Prior entropy
0.9931
Recall
0.8
Per class
Relative absolute error
0.4176
Root mean prior squared error
0.4975
Root mean squared error
0.4209
Root relative squared error
0.8459
SciMark benchmark
890.4487