- •«Санкт-Петербургский государственный электротехнический университет “лэти” имени в.И. Ульянова (Ленина)»
- •Рассмотрим базу погоды:
- •Применим к имеющимся данным алгоритмы обработки: Алгоритмы ассоциации:
- •Алгоритмы классификации:
- •Алгоритмы кластеризации:
- •Выводы:
- •Работа с подключенной базой данных: Текс данных:
- •Перевод данных:
- •Графики:
- •Данные:
- •Classify:
- •Cluster (em):
- •Associate (Apriori):
- •Select attributes (ChiSquaredAttributeEval – Ranker):
- •Visualize:
Графики:
Данные:
Classify:
=== Run information ===
Scheme: weka.classifiers.rules.ZeroR
Relation: Glass
Instances: 214
Attributes: 10
RI
Na
Mg
Al
Si
K
Ca
Ba
Fe
Type
Test mode: evaluate on training data
=== Classifier model (full training set) ===
ZeroR predicts class value: build wind non-float
Time taken to build model: 0 seconds
=== Evaluation on training set ===
=== Summary ===
Correctly Classified Instances 76 35.514 %
Incorrectly Classified Instances 138 64.486 %
Kappa statistic 0
Mean absolute error 0.2116
Root mean squared error 0.3244
Relative absolute error 100 %
Root relative squared error 100 %
Total Number of Instances 214
=== Detailed Accuracy By Class ===
TP Rate FP Rate Precision Recall F-Measure ROC Area Class
0 0 0 0 0 0.5 build wind float
1 1 0.355 1 0.524 0.5 build wind non-float
0 0 0 0 0 0.5 vehic wind float
0 0 0 0 0 ? vehic wind non-float
0 0 0 0 0 0.5 containers
0 0 0 0 0 0.5 tableware
0 0 0 0 0 0.5 headlamps
=== Confusion Matrix ===
a b c d e f g <-- classified as
0 70 0 0 0 0 0 | a = build wind float
0 76 0 0 0 0 0 | b = build wind non-float
0 17 0 0 0 0 0 | c = vehic wind float
0 0 0 0 0 0 0 | d = vehic wind non-float
0 13 0 0 0 0 0 | e = containers
0 9 0 0 0 0 0 | f = tableware
0 29 0 0 0 0 0 | g = headlamps
Cluster (em):
=== Run information ===
Scheme: weka.clusterers.EM -I 100 -N -1 -M 1.0E-6 -S 100
Relation: Glass
Instances: 214
Attributes: 10
RI
Na
Mg
Al
Si
K
Ca
Ba
Fe
Type
Test mode: evaluate on training data
=== Model and evaluation on training set ===
EM
==
Number of clusters selected by cross validation: 10
Cluster: 0 Prior probability: 0.3065
Attribute: RI
Normal Distribution. Mean = 1.5171 StdDev = 0.0009
Attribute: Na
Normal Distribution. Mean = 13.0973 StdDev = 0.3364
Attribute: Mg
Normal Distribution. Mean = 3.5168 StdDev = 0.1979
Attribute: Al
Normal Distribution. Mean = 1.408 StdDev = 0.1995
Attribute: Si
Normal Distribution. Mean = 72.8398 StdDev = 0.3168
Attribute: K
Normal Distribution. Mean = 0.5889 StdDev = 0.0706
Attribute: Ca
Normal Distribution. Mean = 8.3343 StdDev = 0.3238
Attribute: Ba
Normal Distribution. Mean = 0 StdDev = 0.4972
Attribute: Fe
Normal Distribution. Mean = 0.0071 StdDev = 0.0242
Attribute: Type
Discrete Estimator. Counts = 33.57 38.4 9.67 1 1 1 1 (Total = 85.64)
Cluster: 1 Prior probability: 0.0706
Attribute: RI
Normal Distribution. Mean = 1.516 StdDev = 0.0022
Attribute: Na
Normal Distribution. Mean = 14.6322 StdDev = 0.8152
Attribute: Mg
Normal Distribution. Mean = 0.521 StdDev = 1.0417
Attribute: Al
Normal Distribution. Mean = 2.2047 StdDev = 0.635
Attribute: Si
Normal Distribution. Mean = 73.2217 StdDev = 0.9668
Attribute: K
Normal Distribution. Mean = 0.0668 StdDev = 0.1556
Attribute: Ca
Normal Distribution. Mean = 8.7208 StdDev = 0.701
Attribute: Ba
Normal Distribution. Mean = 0.5512 StdDev = 0.2837
Attribute: Fe
Normal Distribution. Mean = 0.0143 StdDev = 0.0303
Attribute: Type
Discrete Estimator. Counts = 1.99 1.08 1 1 1.02 3.02 14.66 (Total = 23.78)
Cluster: 2 Prior probability: 0.134
Attribute: RI
Normal Distribution. Mean = 1.5186 StdDev = 0.0021
Attribute: Na
Normal Distribution. Mean = 13.6061 StdDev = 0.3968
Attribute: Mg
Normal Distribution. Mean = 3.6007 StdDev = 0.1553
Attribute: Al
Normal Distribution. Mean = 1.1634 StdDev = 0.3855
Attribute: Si
Normal Distribution. Mean = 72.325 StdDev = 0.5675
Attribute: K
Normal Distribution. Mean = 0.3249 StdDev = 0.2335
Attribute: Ca
Normal Distribution. Mean = 8.7967 StdDev = 0.3227
Attribute: Ba
Normal Distribution. Mean = 0 StdDev = 0.001
Attribute: Fe
Normal Distribution. Mean = 0.1136 StdDev = 0.1321
Attribute: Type
Discrete Estimator. Counts = 1.82 1.74 5.82 1 1 1 1.1 (Total = 13.48)
Cluster: 3 Prior probability: 0.1369
Attribute: RI
Normal Distribution. Mean = 1.5174 StdDev = 0.0009
Attribute: Na
Normal Distribution. Mean = 12.8949 StdDev = 0.2851
Attribute: Mg
Normal Distribution. Mean = 3.4648 StdDev = 0.3154
Attribute: Al
Normal Distribution. Mean = 1.3158 StdDev = 0.1976
Attribute: Si
Normal Distribution. Mean = 72.9301 StdDev = 0.4334
Attribute: K
Normal Distribution. Mean = 0.592 StdDev = 0.073
Attribute: Ca
Normal Distribution. Mean = 8.5324 StdDev = 0.365
Attribute: Ba
Normal Distribution. Mean = 0.0149 StdDev = 0.0339
Attribute: Fe
Normal Distribution. Mean = 0.2235 StdDev = 0.0601
Attribute: Type
Discrete Estimator. Counts = 10.26 14.98 1.32 1 1 1 1 (Total = 30.56)
Cluster: 4 Prior probability: 0.0606
Attribute: RI
Normal Distribution. Mean = 1.5175 StdDev = 0.0027
Attribute: Na
Normal Distribution. Mean = 14.6182 StdDev = 0.4818
Attribute: Mg
Normal Distribution. Mean = 0.6442 StdDev = 1.2086
Attribute: Al
Normal Distribution. Mean = 1.9103 StdDev = 0.2071
Attribute: Si
Normal Distribution. Mean = 72.7928 StdDev = 0.8766
Attribute: K
Normal Distribution. Mean = 0.3796 StdDev = 0.6461
Attribute: Ca
Normal Distribution. Mean = 7.9144 StdDev = 1.1275
Attribute: Ba
Normal Distribution. Mean = 1.6604 StdDev = 0.3833
Attribute: Fe
Normal Distribution. Mean = 0.0115 StdDev = 0.0271
Attribute: Type
Discrete Estimator. Counts = 1.01 1 1 1 1 1 14 (Total = 20.01)
Cluster: 5 Prior probability: 0.0639
Attribute: RI
Normal Distribution. Mean = 1.5194 StdDev = 0.0023
Attribute: Na
Normal Distribution. Mean = 13.3762 StdDev = 0.3357
Attribute: Mg
Normal Distribution. Mean = 3.5342 StdDev = 0.268
Attribute: Al
Normal Distribution. Mean = 1.1116 StdDev = 0.2135
Attribute: Si
Normal Distribution. Mean = 72.3836 StdDev = 0.4306
Attribute: K
Normal Distribution. Mean = 0.3766 StdDev = 0.2123
Attribute: Ca
Normal Distribution. Mean = 9.05 StdDev = 0.5222
Attribute: Ba
Normal Distribution. Mean = 0.0152 StdDev = 0.0418
Attribute: Fe
Normal Distribution. Mean = 0.0861 StdDev = 0.0892
Attribute: Type
Discrete Estimator. Counts = 15.7 2.66 1.83 1 1 1 1.43 (Total = 24.61)
Cluster: 6 Prior probability: 0.0581
Attribute: RI
Normal Distribution. Mean = 1.5208 StdDev = 0.0033
Attribute: Na
Normal Distribution. Mean = 13.8483 StdDev = 0.4863
Attribute: Mg
Normal Distribution. Mean = 3.6468 StdDev = 0.3412
Attribute: Al
Normal Distribution. Mean = 1.0038 StdDev = 0.4424
Attribute: Si
Normal Distribution. Mean = 71.9005 StdDev = 0.5675
Attribute: K
Normal Distribution. Mean = 0.2368 StdDev = 0.2655
Attribute: Ca
Normal Distribution. Mean = 9.2239 StdDev = 1.0353
Attribute: Ba
Normal Distribution. Mean = 0 StdDev = 0.4972
Attribute: Fe
Normal Distribution. Mean = 0.0571 StdDev = 0.0717
Attribute: Type
Discrete Estimator. Counts = 12.65 9.81 2.99 1 1 1 1.54 (Total = 30)
Cluster: 7 Prior probability: 0.0337
Attribute: RI
Normal Distribution. Mean = 1.5282 StdDev = 0.003
Attribute: Na
Normal Distribution. Mean = 11.876 StdDev = 0.9852
Attribute: Mg
Normal Distribution. Mean = 0 StdDev = 0.0026
Attribute: Al
Normal Distribution. Mean = 1.2205 StdDev = 0.5342
Attribute: Si
Normal Distribution. Mean = 71.676 StdDev = 1.2324
Attribute: K
Normal Distribution. Mean = 0.2518 StdDev = 0.2929
Attribute: Ca
Normal Distribution. Mean = 14.304 StdDev = 1.0111
Attribute: Ba
Normal Distribution. Mean = 0.4475 StdDev = 1.0997
Attribute: Fe
Normal Distribution. Mean = 0.1364 StdDev = 0.1362
Attribute: Type
Discrete Estimator. Counts = 1 8 1 1 1.04 1 1 (Total = 14.04)
Cluster: 8 Prior probability: 0.0419
Attribute: RI
Normal Distribution. Mean = 1.5179 StdDev = 0.0033
Attribute: Na
Normal Distribution. Mean = 12.6604 StdDev = 0.9065
Attribute: Mg
Normal Distribution. Mean = 1.0209 StdDev = 1.0227
Attribute: Al
Normal Distribution. Mean = 2.1441 StdDev = 0.7589
Attribute: Si
Normal Distribution. Mean = 72.3673 StdDev = 1.645
Attribute: K
Normal Distribution. Mean = 2.1205 StdDev = 2.216
Attribute: Ca
Normal Distribution. Mean = 9.2 StdDev = 1.978
Attribute: Ba
Normal Distribution. Mean = 0.2694 StdDev = 0.6676
Attribute: Fe
Normal Distribution. Mean = 0.0749 StdDev = 0.1638
Attribute: Type
Discrete Estimator. Counts = 1.01 1.44 1 1 8.9 1 2.19 (Total = 16.53)
Cluster: 9 Prior probability: 0.0939
Attribute: RI
Normal Distribution. Mean = 1.5199 StdDev = 0.0014
Attribute: Na
Normal Distribution. Mean = 13.8035 StdDev = 0.595
Attribute: Mg
Normal Distribution. Mean = 1.0907 StdDev = 1.0884
Attribute: Al
Normal Distribution. Mean = 1.4391 StdDev = 0.4039
Attribute: Si
Normal Distribution. Mean = 72.6941 StdDev = 0.6514
Attribute: K
Normal Distribution. Mean = 0.2116 StdDev = 0.2179
Attribute: Ca
Normal Distribution. Mean = 10.5799 StdDev = 1.0086
Attribute: Ba
Normal Distribution. Mean = 0.0148 StdDev = 0.0547
Attribute: Fe
Normal Distribution. Mean = 0.0406 StdDev = 0.0786
Attribute: Type
Discrete Estimator. Counts = 1.01 6.89 1.37 1 6.05 7.97 1.07 (Total = 25.36)
Clustered Instances
0 62 ( 29%)
1 15 ( 7%)
2 42 ( 20%)
3 27 ( 13%)
4 13 ( 6%)
5 10 ( 5%)
6 8 ( 4%)
7 7 ( 3%)
8 10 ( 5%)
9 20 ( 9%)
Log likelihood: 3.17447