train5a1e8w7-label-classification: Mirror of https://huggingface.co/sahilrajpal121/train5a1e8w7-label-classification

license

library_name

Baseline Model trained on train5a1e8w7 to apply classification on label

Metrics of the best model:

accuracy 0.693101

recall_macro 0.665973

precision_macro 0.657625

f1_macro 0.656998

Name: LogisticRegression(C=0.1, class_weight='balanced', max_iter=1000), dtype: float64

See model plot below:

Pipeline(steps=[('easypreprocessor',EasyPreprocessor(types= continuous dirty_float low_card_int ... date free_string useless

v_21 False False False ... False False False v_32 True False False ... False False False v_15 False False False ... False False False v_4 True False False ... False False False v_1 False False False ... False False False v_8 False False False ... False False False v_12 False False Fa... v_34 False False False ... False False False v_35 True False False ... False False False v_36 True False False ... False False False v_37 True False False ... False False False v_38 True False False ... False False False v_39 True False False ... False False False v_40 False False False ... False False False[40 rows x 7 columns])),('logisticregression',LogisticRegression(C=0.1, class_weight='balanced',max_iter=1000))])

In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
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Pipeline

Pipeline(steps=[('easypreprocessor',EasyPreprocessor(types=      continuous  dirty_float  low_card_int  ...   date  free_string  useless
v_21       False        False         False  ...  False        False    False
v_32        True        False         False  ...  False        False    False
v_15       False        False         False  ...  False        False    False
v_4         True        False         False  ...  False        False    False
v_1        False        False         False  ...  False        False    False
v_8        False        False         False  ...  False        False    False
v_12       False        False         Fa...
v_34       False        False         False  ...  False        False    False
v_35        True        False         False  ...  False        False    False
v_36        True        False         False  ...  False        False    False
v_37        True        False         False  ...  False        False    False
v_38        True        False         False  ...  False        False    False
v_39        True        False         False  ...  False        False    False
v_40       False        False         False  ...  False        False    False[40 rows x 7 columns])),('logisticregression',LogisticRegression(C=0.1, class_weight='balanced',max_iter=1000))])

EasyPreprocessor

EasyPreprocessor(types=      continuous  dirty_float  low_card_int  ...   date  free_string  useless
v_21       False        False         False  ...  False        False    False
v_32        True        False         False  ...  False        False    False
v_15       False        False         False  ...  False        False    False
v_4         True        False         False  ...  False        False    False
v_1        False        False         False  ...  False        False    False
v_8        False        False         False  ...  False        False    False
v_12       False        False         False  ...  False        False    False
v_25        True        False         Fa...
v_7         True        False         False  ...  False        False    False
v_2         True        False         False  ...  False        False    False
v_16        True        False         False  ...  False        False    False
v_34       False        False         False  ...  False        False    False
v_35        True        False         False  ...  False        False    False
v_36        True        False         False  ...  False        False    False
v_37        True        False         False  ...  False        False    False
v_38        True        False         False  ...  False        False    False
v_39        True        False         False  ...  False        False    False
v_40       False        False         False  ...  False        False    False[40 rows x 7 columns])

LogisticRegression

LogisticRegression(C=0.1, class_weight='balanced', max_iter=1000)

Disclaimer: This model is trained with dabl library as a baseline, for better results, use AutoTrain.

Logs of training including the models tried in the process can be found in logs.txt

Hugging Face 模型镜像 / train5a1e8w7-label-classification

Baseline Model trained on train5a1e8w7 to apply classification on label

简介

发行版

贡献者

近期动态

Hugging Face 模型镜像 / train5a1e8w7-label-classification .gitee-modal { width: 500px !important; }

Baseline Model trained on train5a1e8w7 to apply classification on label

简介

发行版

贡献者

近期动态

搜索帮助

Hugging Face 模型镜像 / train5a1e8w7-label-classification