DEVELOPMENT... OpenML
Run
36443

Run 36443

Task 3807 (Supervised Classification) echoMonths 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)_I10
weka.MultiBoostAB_ADTree(2)_Wweka.classifiers.trees.ADTree

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

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
0.8171
Per class
Build CPU time
0.0337
Build memory
801780664.8
F measure
0.7447
Per class
Kappa
0.4911
KB relative information score
63.9617
Mean absolute error
0.2542
Mean prior absolute error
0.4999
Number of instances
130
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7504
Per class
Predictive accuracy
0.7462
Prior entropy
0.9998
Recall
0.7462
Per class
Relative absolute error
0.5085
Root mean prior squared error
0.4999
Root mean squared error
0.4889
Root relative squared error
0.978
SciMark benchmark
941.8931