DEVELOPMENT... OpenML
Run
40470

Run 40470

Task 3658 (Supervised Classification) fri_c3_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)_I80
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
0.9336
Per class
Build CPU time
0.9574
Build memory
1290271416.8
F measure
0.9157
Per class
Kappa
0.8302
KB relative information score
208.5022
Mean absolute error
0.082
Mean prior absolute error
0.4968
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
0.9169
Per class
Predictive accuracy
0.916
Prior entropy
0.9955
Recall
0.916
Per class
Relative absolute error
0.165
Root mean prior squared error
0.4984
Root mean squared error
0.2832
Root relative squared error
0.5683
SciMark benchmark
945.8914