DEVELOPMENT... OpenML
Run
37784

Run 37784

Task 4502 (Supervised Classification) socmob 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
0.9749
Per class
Build CPU time
0.2383
Build memory
936071232.6754
F measure
0.9511
Per class
Kappa
0.8573
KB relative information score
9681.386
Mean absolute error
0.0489
Mean prior absolute error
0.3451
Number of instances
11560
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9509
Per class
Predictive accuracy
0.9514
Prior entropy
0.7637
Recall
0.9514
Per class
Relative absolute error
0.1416
Root mean prior squared error
0.4152
Root mean squared error
0.2104
Root relative squared error
0.5068
SciMark benchmark
941.4059