What classification algorithm should I use for document classification with this variables?
Because of the continuous score, which i assume is your label, it's a regression problem. SVMs are more common for classification problems. There are lots of possible algorithms out there. Logistic Regression would be pretty common to solve something like this.
Edit 
Now that you edited your post your problem became a classification problem :-)
Classification = some classes you want your data to classify as like boolean(True, False) or multinomial(Big, Middle, Small, Very Small)
Regression = continuous values(all real numbers between 0 and 1)
Now you can try your SVM and see if it works well enough for your data.
See @Maxim's answer he has some good points (balancing, scaling)
I'm trying to classify pages, in particular search for a page, in documents based on bag of words, page layout, contain tables or not, has bold titles, etc. With this premise I have created a pandas.DataFrame like this, for each document:

    page  totalCharCount  matchesOfWordX  matchesOfWordY          hasFeaturesX     hasFeaturesY   hasTable      score
0    0.0           608.0             0.0             2.0                   0.0              0.0        0.0        0.0
1    1.0          3292.0             1.0            24.0                   7.0              0.0        0.0        0.0
2    2.0          3302.0             0.0            15.0                   1.0              0.0        1.0        0.0
3    3.0            26.0             0.0             0.0                   0.0              1.0        1.0        1.0
4    4.0          1851.0             3.0            25.0                  20.0              7.0        0.0        0.0
5    5.0          2159.0             0.0            27.0                   6.0              0.0        0.0        0.0
6    6.0          1906.0             0.0             9.0                  15.0              3.0        0.0        0.0
7    7.0          1825.0             0.0            24.0                   9.0              0.0        0.0        0.0
8    8.0          2053.0             0.0            20.0                  10.0              2.0        0.0        0.0
9    9.0          2082.0             2.0            16.0                   3.0              2.0        0.0        0.0
10  10.0          2206.0             0.0            30.0                   1.0              0.0        0.0        0.0
11  11.0          1746.0             3.0            31.0                   3.0              0.0        0.0        0.0
12  12.0          1759.0             0.0            38.0                   3.0              1.0        0.0        0.0
13  13.0          1790.0             0.0            21.0                   0.0              0.0        0.0        0.0
14  14.0          1759.0             0.0            11.0                   6.0              0.0        0.0        0.0
15  15.0          1539.0             0.0            20.0                   3.0              0.0        0.0        0.0
16  16.0          1891.0             0.0            13.0                   6.0              1.0        0.0        0.0
17  17.0          1101.0             0.0             4.0                   0.0              1.0        0.0        0.0
18  18.0          2247.0             0.0            16.0                   5.0              5.0        0.0        0.0
19  19.0           598.0             2.0             3.0                   1.0              1.0        0.0        0.0
20  20.0          1014.0             2.0             1.0                  16.0              3.0        0.0        0.0
21  21.0           337.0             1.0             2.0                   1.0              1.0        0.0        0.0
22  22.0           258.0             0.0             0.0                   0.0              0.0        0.0        0.0

I'm taking a look to Naive Bayes and SVM algorithms but I'm not sure which one fits better with the problem. The variables are independent. Some of them must be present to increase the score, and some of them matches the inverse document frequency, like totalCharCount.
Any help? 
Thanks a lot!