DEVELOPMENT... OpenML
Run
37549

Run 37549

Task 3695 (Supervised Classification) fri_c2_250_10 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
0.9024
Per class
Build CPU time
0.2382
Build memory
150007963.2
F measure
0.8903
Per class
Kappa
0.7606
KB relative information score
189.2208
Mean absolute error
0.1085
Mean prior absolute error
0.4633
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
0.8925
Per class
Predictive accuracy
0.892
Prior entropy
0.9468
Recall
0.892
Per class
Relative absolute error
0.2341
Root mean prior squared error
0.4812
Root mean squared error
0.3258
Root relative squared error
0.6771
SciMark benchmark
941.7327