I am trying to handle imbalanced multi label dataset
using cross validation
but scikit learn cross_val_score
is returning nan list of values
on running classifier.
Here is the code:
import pandas as pd
import numpy as np
data = pd.DataFrame.from_dict(dict, orient = 'index') # save the given data below in dict variable to run this line
from sklearn.model_selection import train_test_split
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.preprocessing import MultiLabelBinarizer
from sklearn.multiclass import OneVsRestClassifier
multilabel = MultiLabelBinarizer()
y = multilabel.fit_transform(data['Tags'])
from nltk.corpus import stopwords
stop_words = set(stopwords.words('english'))
tfidf = TfidfVectorizer(stop_words = stop_words,max_features= 40000, ngram_range = (1,3))
X = tfidf.fit_transform(data['cleaned_title'])
from skmultilearn.model_selection import IterativeStratification
k_fold = IterativeStratification(n_splits=10, order=1)
from sklearn.linear_model import LogisticRegression
from sklearn.metrics import jaccard_score
class_weight = {0:1,1:10}
lr = LogisticRegression(class_weight = class_weight, n_jobs = -1)
scores = cross_val_score(lr, X, y, cv=k_fold, scoring = 'f1_micro')
scores
Here is the data (first 10 rows) using data.head(10).to_dict()
{0: {'Tags': ['python', 'list', 'loops', 'for-loop', 'indexing'],
'cleaned_title': 'for loop we use any local variable what if we use any number present in a list ',
'cleaned_text_of_ques': 'in the for loop we use any local variable what if we use any number in a list what will be the output a [ 1 2 3 4 5 6 ] b [ ] for a[ 1 ] in a b append a[ 1 ] print b '},
1: {'Tags': ['python', 'loops', 'tkinter', 'algorithm-animation'],
'cleaned_title': 'contain a mainloop [ duplicate ]',
'cleaned_text_of_ques': 'my code be a bubble sort that i be try to visualise but i be struggle to find a way to make a block of code only be use once i also think that if i could only mainloop a section that would'},
2: {'Tags': ['android',
'android-lifecycle',
'activity-lifecycle',
'onsaveinstancestate'],
'cleaned_title': 'when onrestoreinstancestate be not call ',
'cleaned_text_of_ques': 'docs describe when onrestoreinstancestate be call this method be call after onstart when the activity be be re initialize from a previously save state give here in savedinstancestate '},
3: {'Tags': ['python', 'r', 'bash', 'conda', 'spyder'],
'cleaned_title': 'point conda r to already instal version of r',
'cleaned_text_of_ques': 'my problem have to do with the fact that rstudio and conda be point to different version of r my r and rstudio be instal independent of anaconda and everything be work great in my '},
4: {'Tags': ['android',
'firebase',
'firebase-realtime-database',
'android-recyclerview'],
'cleaned_title': 'how to use a recycleview with several different layout accord to the datum collect in firebase [ close ]',
'cleaned_text_of_ques': 'i have a problem there be day that i do research and test code but nothing work my application will have a window where i will post datum take in firebase use a recycleview with the'},
5: {'Tags': ['html', 'css', 'layout'],
'cleaned_title': 'how to create side by side layout of an image and label ',
'cleaned_text_of_ques': 'i have be try for a while now and can not seem to achive the bellow design exploreitem background color 353258 rgba 31 31 31 1 border 1px solid 4152f1 color '},
6: {'Tags': ['php', 'jquery', 'file'],
'cleaned_title': 'php jquery ajax _ files[ file ] undefined index error',
'cleaned_text_of_ques': 'i have a form that upload image file and it be not work i have try submit and click event the error appear when i have remove the if statement thank in advance for your help '},
7: {'Tags': ['python', 'pandas', 'dataframe'],
'cleaned_title': 'how to update value in pandas dataframe in a for loop ',
'cleaned_text_of_ques': 'i be try to make a data frame that can store variable coeff value after each iteration i be able to plot the graph after each iteration but when i try to insert the value in the data frame'},
8: {'Tags': ['xpath', 'web-scraping', 'scrapy'],
'cleaned_title': 'scrapy how can i handle a random number of element ',
'cleaned_text_of_ques': 'i have a scrapy crawler that i can comfortably acquire the first desire paragraph but sometimes there be a second or third paragraph response xpath f string h2[contains text card ] '},
9: {'Tags': ['bootstrap-4', 'tabs', 'collapse'],
'cleaned_title': 'collapse three column with bootstrap',
'cleaned_text_of_ques': 'i be try to make three tab with cross reference with one tab visible at the time i be use the bootstrap v4 collapse scheme with functionality support by jquery here be the example https '}}
This is how I get the cross_val_score
in scores
variable
array([nan, nan, nan, nan, nan, nan, nan, nan, nan, nan])
. It should have each value in range 0-1
. However, this is happening with every algorithm model
.
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