DEVELOPMENT... OpenML
Run
37435

Run 37435

Task 4445 (Supervised Classification) fri_c1_100_50 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
0.7723
Per class
Build CPU time
0.2847
Build memory
97716178
F measure
0.7464
Per class
Kappa
0.4845
KB relative information score
443.5611
Mean absolute error
0.2772
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
0.7462
Per class
Predictive accuracy
0.747
Prior entropy
0.99
Recall
0.747
Per class
Relative absolute error
0.5624
Root mean prior squared error
0.4964
Root mean squared error
0.4673
Root relative squared error
0.9415
SciMark benchmark
941.9633