Nursery Data Set

JUMP TO NURSERY DATA SET:

Number of features = 8

Total number of instances = 12960

Number of classes: 5


probability of class 0 in the whole set: 0.000154321

probability of class 1 in the whole set: 0.329167

probability of class 2 in the whole set: 0.333333

probability of class 3 in the whole set: 0.0253086

probability of class 4 in the whole set: 0.312037

feature 0, with number of values = 3

feature 1, with number of values = 5

feature 2, with number of values = 4

feature 3, with number of values = 4

feature 4, with number of values = 3

feature 5, with number of values = 2

feature 6, with number of values = 3

feature 7, with number of values = 3


Naive Bayes trained on the whole data set:

0/1 loss if no feature was used (error of random):0.666667

feature: 0, with gini loss: 0.657509, with 0/1 loss: 0.581088 (when used alone for prediction)

class: 0

value: 0, prob: 0.6

value: 1, prob: 0.2

value: 2, prob: 0.2

class: 1

value: 0, prob: 0.450925

value: 1, prob: 0.347857

value: 2, prob: 0.201218

class: 2

value: 0, prob: 0.333333

value: 1, prob: 0.333333

value: 2, prob: 0.333333

class: 3

value: 0, prob: 0.595166

value: 1, prob: 0.401813

value: 2, prob: 0.00302115

class: 4

value: 0, prob: 0.187546

value: 1, prob: 0.312577

value: 2, prob: 0.499876


feature: 1, with gini loss: 0.61129, with 0/1 loss: 0.508383 (when used alone for prediction)

class: 0

value: 0, prob: 0.428571

value: 1, prob: 0.142857

value: 2, prob: 0.142857

value: 3, prob: 0.142857

value: 4, prob: 0.142857

class: 1

value: 0, prob: 0.314915

value: 1, prob: 0.314915

value: 2, prob: 0.211894

value: 3, prob: 0.108874

value: 4, prob: 0.049403

class: 2

value: 0, prob: 0.2

value: 1, prob: 0.2

value: 2, prob: 0.2

value: 3, prob: 0.2

value: 4, prob: 0.2

class: 3

value: 0, prob: 0.393393

value: 1, prob: 0.399399

value: 2, prob: 0.201201

value: 3, prob: 0.003003

value: 4, prob: 0.003003

class: 4

value: 0, prob: 0.0624846

value: 1, prob: 0.0624846

value: 2, prob: 0.187454

value: 3, prob: 0.312423

value: 4, prob: 0.375154


feature: 2, with gini loss: 0.681264, with 0/1 loss: 0.655882 (when used alone for prediction)

class: 0

value: 0, prob: 0.5

value: 1, prob: 0.166667

value: 2, prob: 0.166667

value: 3, prob: 0.166667

class: 1

value: 0, prob: 0.270023

value: 1, prob: 0.255972

value: 2, prob: 0.243326

value: 3, prob: 0.230679

class: 2

value: 0, prob: 0.25

value: 1, prob: 0.25

value: 2, prob: 0.25

value: 3, prob: 0.25

class: 3

value: 0, prob: 0.358434

value: 1, prob: 0.304217

value: 2, prob: 0.213855

value: 3, prob: 0.123494

class: 4

value: 0, prob: 0.219615

value: 1, prob: 0.239377

value: 2, prob: 0.260128

value: 3, prob: 0.280879


feature: 3, with gini loss: 0.679735, with 0/1 loss: 0.647408 (when used alone for prediction)

class: 0

value: 0, prob: 0.5

value: 1, prob: 0.166667

value: 2, prob: 0.166667

value: 3, prob: 0.166667

class: 1

value: 0, prob: 0.28267

value: 1, prob: 0.255972

value: 2, prob: 0.230679

value: 3, prob: 0.230679

class: 2

value: 0, prob: 0.25

value: 1, prob: 0.25

value: 2, prob: 0.25

value: 3, prob: 0.25

class: 3

value: 0, prob: 0.448795

value: 1, prob: 0.304217

value: 2, prob: 0.123494

value: 3, prob: 0.123494

class: 4

value: 0, prob: 0.198864

value: 1, prob: 0.239377

value: 2, prob: 0.280879

value: 3, prob: 0.280879


feature: 4, with gini loss: 0.678216, with 0/1 loss: 0.639995 (when used alone for prediction)

class: 0

value: 0, prob: 0.6

value: 1, prob: 0.2

value: 2, prob: 0.2

class: 1

value: 0, prob: 0.379246

value: 1, prob: 0.327243

value: 2, prob: 0.293511

class: 2

value: 0, prob: 0.333333

value: 1, prob: 0.333333

value: 2, prob: 0.333333

class: 3

value: 0, prob: 0.63142

value: 1, prob: 0.305136

value: 2, prob: 0.0634441

class: 4

value: 0, prob: 0.260193

value: 1, prob: 0.342229

value: 2, prob: 0.397578


feature: 5, with gini loss: 0.681514, with 0/1 loss: 0.658035 (when used alone for prediction)

class: 0

value: 0, prob: 0.75

value: 1, prob: 0.25

class: 1

value: 0, prob: 0.526007

value: 1, prob: 0.473993

class: 2

value: 0, prob: 0.5

value: 1, prob: 0.5

class: 3

value: 0, prob: 0.663636

value: 1, prob: 0.336364

class: 4

value: 0, prob: 0.458972

value: 1, prob: 0.541028


feature: 6, with gini loss: 0.678949, with 0/1 loss: 0.639379 (when used alone for prediction)

class: 0

value: 0, prob: 0.4

value: 1, prob: 0.4

value: 2, prob: 0.2

class: 1

value: 0, prob: 0.355118

value: 1, prob: 0.355118

value: 2, prob: 0.289763

class: 2

value: 0, prob: 0.333333

value: 1, prob: 0.333333

value: 2, prob: 0.333333

class: 3

value: 0, prob: 0.498489

value: 1, prob: 0.498489

value: 2, prob: 0.00302115

class: 4

value: 0, prob: 0.296763

value: 1, prob: 0.296763

value: 2, prob: 0.406474


feature: 7, with gini loss: 0.346904, with 0/1 loss: 0.29055 (when used alone for prediction)

class: 0

value: 0, prob: 0.6

value: 1, prob: 0.2

value: 2, prob: 0.2

class: 1

value: 0, prob: 0.565238

value: 1, prob: 0.434528

value: 2, prob: 0.000234247

class: 2

value: 0, prob: 0.000231321

value: 1, prob: 0.000231321

value: 2, prob: 0.999537

class: 3

value: 0, prob: 0.993958

value: 1, prob: 0.00302115

value: 2, prob: 0.00302115

class: 4

value: 0, prob: 0.390166

value: 1, prob: 0.609587

value: 2, prob: 0.000247097

Number of features = 16

Total number of instances = 435

​number of classes: 2

probability of class 0 in the whole set: 0.386207

probability of class 1 in the whole set: 0.613793

feature 0, with number of values = 2

feature 1, with number of values = 2

feature 2, with number of values = 2

feature 3, with number of values = 2

feature 4, with number of values = 2

feature 5, with number of values = 2

feature 6, with number of values = 2

feature 7, with number of values = 2

feature 8, with number of values = 2

feature 9, with number of values = 2

feature 10, with number of values = 2

feature 11, with number of values = 2

feature 12, with number of values = 2

feature 13, with number of values = 2

feature 14, with number of values = 2

feature 15, with number of values = 2


Naive Bayes trained on the whole data set:

0/1 loss if no feature was used (error of random):0.386207

feature: 0, with gini loss: 0.396761, with 0/1 loss: 0.31716 (when used alone for prediction)

class: 0

value: 0, prob: 0.808383

value: 1, prob: 0.191617

class: 1

value: 0, prob: 0.396154

value: 1, prob: 0.603846


feature: 1, with gini loss: 0.474093, with 0/1 loss: 0.386207 (when used alone for prediction)

class: 0

value: 0, prob: 0.506667

value: 1, prob: 0.493333

class: 1

value: 0, prob: 0.502075

value: 1, prob: 0.497925


feature: 2, with gini loss: 0.213477, with 0/1 loss: 0.123792 (when used alone for prediction)

class: 0

value: 0, prob: 0.861446

value: 1, prob: 0.138554

class: 1

value: 0, prob: 0.114504

value: 1, prob: 0.885496


feature: 3, with gini loss: 0.0782587, with 0/1 loss: 0.0422133 (when used alone for prediction)

class: 0

value: 0, prob: 0.982036

value: 1, prob: 0.0179641

class: 1

value: 0, prob: 0.0574713

value: 1, prob: 0.942529


feature: 4, with gini loss: 0.235713, with 0/1 loss: 0.154558 (when used alone for prediction)

class: 0

value: 0, prob: 0.946108

value: 1, prob: 0.0538922

class: 1

value: 0, prob: 0.217899

value: 1, prob: 0.782101


feature: 5, with gini loss: 0.389962, with 0/1 loss: 0.334111 (when used alone for prediction)

class: 0

value: 0, prob: 0.892857

value: 1, prob: 0.107143

class: 1

value: 0, prob: 0.476923

value: 1, prob: 0.523077


feature: 6, with gini loss: 0.347355, with 0/1 loss: 0.235299 (when used alone for prediction)

class: 0

value: 0, prob: 0.756098

value: 1, prob: 0.243902

class: 1

value: 0, prob: 0.229885

value: 1, prob: 0.770115


feature: 7, with gini loss: 0.269003, with 0/1 loss: 0.16727 (when used alone for prediction)

class: 0

value: 0, prob: 0.842767

value: 1, prob: 0.157233

class: 1

value: 0, prob: 0.173585

value: 1, prob: 0.826415


feature: 8, with gini loss: 0.292049, with 0/1 loss: 0.196018 (when used alone for prediction)

class: 0

value: 0, prob: 0.88024

value: 1, prob: 0.11976

class: 1

value: 0, prob: 0.244

value: 1, prob: 0.756


feature: 9, with gini loss: 0.47084, with 0/1 loss: 0.386207 (when used alone for prediction)

class: 0

value: 0, prob: 0.556886

value: 1, prob: 0.443114

class: 1

value: 0, prob: 0.471698

value: 1, prob: 0.528302


feature: 10, with gini loss: 0.407875, with 0/1 loss: 0.356088 (when used alone for prediction)

class: 0

value: 0, prob: 0.863354

value: 1, prob: 0.136646

class: 1

value: 0, prob: 0.494163

value: 1, prob: 0.505837


feature: 11, with gini loss: 0.236471, with 0/1 loss: 0.142138 (when used alone for prediction)

class: 0

value: 0, prob: 0.866242

value: 1, prob: 0.133758

class: 1

value: 0, prob: 0.14741

value: 1, prob: 0.85259


feature: 12, with gini loss: 0.330589, with 0/1 loss: 0.234339 (when used alone for prediction)

class: 0

value: 0, prob: 0.85625

value: 1, prob: 0.14375

class: 1

value: 0, prob: 0.291339

value: 1, prob: 0.708661


feature: 13, with gini loss: 0.292809, with 0/1 loss: 0.225135 (when used alone for prediction)

class: 0

value: 0, prob: 0.97546

value: 1, prob: 0.0245399

class: 1

value: 0, prob: 0.351351

value: 1, prob: 0.648649


feature: 14, with gini loss: 0.339472, with 0/1 loss: 0.259863 (when used alone for prediction)

class: 0

value: 0, prob: 0.905063

value: 1, prob: 0.0949367

class: 1

value: 0, prob: 0.363636

value: 1, prob: 0.636364


feature: 15, with gini loss: 0.4154, with 0/1 loss: 0.295792 (when used alone for prediction)

class: 0

value: 0, prob: 0.655405

value: 1, prob: 0.344595

class: 1

value: 0, prob: 0.930481

value: 1, prob: 0.0695187