DEVELOPMENT... OpenML
Run
40592

Run 40592

Task 3687 (Supervised Classification) cal_housing 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
0.9479
Per class
Build CPU time
100.6539
Build memory
1310938273.6
F measure
0.8717
Per class
Kappa
0.7331
KB relative information score
15026.8212
Mean absolute error
0.1297
Mean prior absolute error
0.4824
Number of instances
20640
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8718
Per class
Predictive accuracy
0.8722
Prior entropy
0.9745
Recall
0.8722
Per class
Relative absolute error
0.2688
Root mean prior squared error
0.4911
Root mean squared error
0.3312
Root relative squared error
0.6744
SciMark benchmark
945.8425