system HF staff commited on
Commit
6054706
1 Parent(s): 7567a50

Commit From AutoTrain

Browse files
Files changed (4) hide show
  1. .gitattributes +2 -0
  2. README.md +48 -0
  3. config.json +1 -0
  4. model.joblib +3 -0
.gitattributes CHANGED
@@ -26,3 +26,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
26
  *.zip filter=lfs diff=lfs merge=lfs -text
27
  *.zstandard filter=lfs diff=lfs merge=lfs -text
28
  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
 
26
  *.zip filter=lfs diff=lfs merge=lfs -text
27
  *.zstandard filter=lfs diff=lfs merge=lfs -text
28
  *tfevents* filter=lfs diff=lfs merge=lfs -text
29
+ *.tar.gz filter=lfs diff=lfs merge=lfs -text
30
+ *.pkl filter=lfs diff=lfs merge=lfs -text
README.md ADDED
@@ -0,0 +1,48 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ tags:
3
+ - autotrain
4
+ - tabular
5
+ - classification
6
+ - structured-data-classification
7
+ datasets:
8
+ - vabadeh213/autotrain-data-iris
9
+ co2_eq_emissions: 0.0006493037575021453
10
+ ---
11
+
12
+ # Model Trained Using AutoTrain
13
+
14
+ - Problem type: Multi-class Classification
15
+ - Model ID: 744122711
16
+ - CO2 Emissions (in grams): 0.0006493037575021453
17
+
18
+ ## Validation Metrics
19
+
20
+ - Loss: 0.09241962407466127
21
+ - Accuracy: 0.9666666666666667
22
+ - Macro F1: 0.9665831244778613
23
+ - Micro F1: 0.9666666666666667
24
+ - Weighted F1: 0.9665831244778613
25
+ - Macro Precision: 0.9696969696969697
26
+ - Micro Precision: 0.9666666666666667
27
+ - Weighted Precision: 0.9696969696969696
28
+ - Macro Recall: 0.9666666666666667
29
+ - Micro Recall: 0.9666666666666667
30
+ - Weighted Recall: 0.9666666666666667
31
+
32
+ ## Usage
33
+
34
+ ```python
35
+ import json
36
+ import joblib
37
+
38
+ model = joblib.load('model.joblib')
39
+ config = json.load(open('config.json'))
40
+
41
+ features = config['features']
42
+
43
+ # data = pd.read_csv("data.csv")
44
+ data = data[features]
45
+
46
+ predictions = model.predict(data) # or model.predict_proba(data)
47
+
48
+ ```
config.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"features": ["sepal.length", "sepal.width", "petal.length", "petal.width"], "targets": ["target"], "model_type": "decision_tree", "target_mapping": {"Setosa": 0, "Versicolor": 1, "Virginica": 2}}
model.joblib ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:57f0b52857cea0dd9e6c5f59f57b4a2c4f92f16794c7b84fd6774a5d2519a0d3
3
+ size 4448