DEVELOPMENT... OpenML
Run
37711

Run 37711

Task 4490 (Supervised Classification) fri_c2_100_50 Uploaded 28-10-2014 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)_I20
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
0.8881
Per class
Build CPU time
0.0534
Build memory
593692152.96
F measure
0.8389
Per class
Kappa
0.6692
KB relative information score
588.3148
Mean absolute error
0.2087
Mean prior absolute error
0.4875
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8389
Per class
Predictive accuracy
0.839
Prior entropy
0.9822
Recall
0.839
Per class
Relative absolute error
0.4282
Root mean prior squared error
0.4936
Root mean squared error
0.3585
Root relative squared error
0.7263
SciMark benchmark
941.4059