DEVELOPMENT... OpenML
Run
44386

Run 44386

Task 4445 (Supervised Classification) fri_c1_100_50 Uploaded 29-10-2014 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)_I160
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
0.757
Per class
Build CPU time
2.3653
Build memory
409270791.12
F measure
0.7471
Per class
Kappa
0.4856
KB relative information score
447.3021
Mean absolute error
0.2754
Mean prior absolute error
0.4929
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
0.7471
Per class
Predictive accuracy
0.748
Prior entropy
0.99
Recall
0.748
Per class
Relative absolute error
0.5586
Root mean prior squared error
0.4964
Root mean squared error
0.4722
Root relative squared error
0.9512
SciMark benchmark
945.0342