DEVELOPMENT... OpenML
Run
144294

Run 144294

Task 3602 (Supervised Classification) visualizing_environmental 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
0.7051
Per class
F measure
0.6573
Per class
Kappa
0.3128
KB relative information score
34.58
Mean absolute error
0.3436
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
0.6573
Per class
Predictive accuracy
0.6577
Prior entropy
0.9986
Recall
0.6577
Per class
Relative absolute error
0.6885
Root mean prior squared error
0.4995
Root mean squared error
0.5465
Root relative squared error
1.094
SciMark benchmark
935.8986
UserCPU time millis
30
UserCPU time millis training
30