DEVELOPMENT... OpenML
Run
40167

Run 40167

Task 3602 (Supervised Classification) visualizing_environmental 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
0.676
Per class
Build CPU time
0.1413
Build memory
834359200.7207
F measure
0.6396
Per class
Kappa
0.2778
KB relative information score
32.2307
Mean absolute error
0.3532
Mean prior absolute error
0.499
Number of instances
111
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6396
Per class
Predictive accuracy
0.6396
Prior entropy
0.9986
Recall
0.6396
Per class
Relative absolute error
0.7078
Root mean prior squared error
0.4995
Root mean squared error
0.5875
Root relative squared error
1.1763
SciMark benchmark
941.4198