DEVELOPMENT... OpenML
Run
44621

Run 44621

Task 4391 (Supervised Classification) house_16H Uploaded 30-10-2014 by Felicia West
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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)_I160
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
0.943
Per class
Build CPU time
464.1092
Build memory
1041341967.1253
F measure
0.88
Per class
Kappa
0.7108
KB relative information score
156985.7969
Mean absolute error
0.1208
Mean prior absolute error
0.4168
Number of instances
227840
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8796
Per class
Predictive accuracy
0.8806
Prior entropy
0.8764
Recall
0.8806
Per class
Relative absolute error
0.2899
Root mean prior squared error
0.4565
Root mean squared error
0.3271
Root relative squared error
0.7165
SciMark benchmark
935.2997