DEVELOPMENT... OpenML
Run
144491

Run 144491

Task 3797 (Supervised Classification) socmob Uploaded 31-01-2015 by Felicia West
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Flow

weka.AdaBoostM1_ADTree(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.AdaBoostM1_ADTree(2)_I10
weka.AdaBoostM1_ADTree(2)_P100
weka.AdaBoostM1_ADTree(2)_S1
weka.AdaBoostM1_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.

22 Evaluation measures

Area under ROC curve
0.9845
Per class
F measure
0.9461
Per class
Kappa
0.8431
KB relative information score
944.3108
Mean absolute error
0.0567
Mean prior absolute error
0.3451
Number of instances
1156
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.946
Per class
Predictive accuracy
0.9464
Prior entropy
0.7637
Recall
0.9464
Per class
Relative absolute error
0.1644
Root mean prior squared error
0.4152
Root mean squared error
0.2018
Root relative squared error
0.486
SciMark benchmark
945.6434
UserCPU time millis
150
UserCPU time millis testing
10
UserCPU time millis training
140