ANOVA Results:
F-statistic: 53.281612729905106
P-value: 4.884623373137866e-52
Significant differences exist between classes (p < 0.05).
Multiple Comparison of Means - Tukey HSD, FWER=0.05
======================================================
group1 group2 meandiff p-adj lower
upper reject
-----------------------------------------------------MTF 1 PMF 1 13.6853
0.0 10.8539 16.5166 True
MTF 1 PMF 3 4.3132 0.0012 1.1864 7.4399 True
MTF 1
PRE 2.8104 0.9818 -8.6177 14.2386 False
MTF 1 SEJ 9 -1.2639 0.9762 -6.1024 3.5747 False
MTF 1
SUK 10.5571 0.0782 -0.6496 21.7638 False
PMF 1 PMF 3 -9.3721
PMF 1
0.0 -12.056 -6.6881 True
PRE -10.8748 0.0678 -22.1899 0.4402 False
PMF 1 SEJ 9 -14.9491
0.0 -19.514 -10.3842 True
PMF 1
SUK -3.1281 0.9668 -14.2195 7.9632 False
PMF 3
PRE -1.5027 0.999 -12.8953 9.8898 False
PMF 3 SEJ 9 -5.577 0.0108 -10.3309 -0.8232 True
PMF 3
SUK 6.2439 0.6025 -4.9265 17.4143 False
PRE SEJ 9 -4.0743 0.9274 -16.0503 7.9017 False
PRE
SUK 7.7467 0.7212 -7.9251 23.4184 False
SEJ 9
SUK 11.821 0.0481 0.0561 23.5859 True
Correlation Results:
Correlation
P-value
MTF 1
-0.130299 1.859409e-03
PMF 1
-0.192285 1.157205e-10
PMF 3
0.054488 1.585813e-01
PRE
0.416320 4.301220e-02
SEJ 9
-0.199783 9.861549e-03
SUK
0.395514 5.035157e-02
Regression Results:
OLS Regression Results
========================================================================
======
Dep. Variable:
Accuracy R-squared:
Model:
OLS Adj. R-squared:
0.003
Method:
Least Squares F-statistic:
7.421
Date:
Sat, 11 Jan 2025 Prob (F-statistic):
Time:
13:02:43 Log-Likelihood:
-11311.
2559 AIC:
2.263e+04
No. Observations:
Df Residuals:
2557 BIC:
Df Model:
1
Covariance Type:
nonrobust
0.003
0.00649
2.264e+04
========================================================================
================
coef
std err
t
P>|t|
[0.025
0.975]
---------------------------------------------------------------------------------------const
72.5563
Total Time (Seconds)
0.528
-0.0025
137.451
0.001
0.000
-2.724
71.521
0.006
73.591
-0.004
-0.001
========================================================================
======
Omnibus:
Prob(Omnibus):
300.165 Durbin-Watson:
0.442
0.000 Jarque-Bera (JB):
416.087
Skew:
-0.918 Prob(JB):
4.45e-91
Kurtosis:
3.730 Cond. No.
757.
========================================================================
======
Notes:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
Correlation Between Time and Accuracy:
Correlation Coefficient: -0.021108901139454052
P-value: 0.2002171953380281
Cluster Summary:
Accuracy
Score Total Time (Seconds)
Cluster
0
58.881797 9404.843972
315.881009
1
84.195548 21405.886328
351.844992
2
81.656250 6019.687500
3610.937500
OLS Regression Results
========================================================================
======
Dep. Variable:
Accuracy R-squared:
Model:
OLS Adj. R-squared:
0.266
Method:
Least Squares F-statistic:
133.4
Date:
Sat, 11 Jan 2025 Prob (F-statistic):
1.16e-167
Time:
13:13:10 Log-Likelihood:
-10916.
2559 AIC:
2.185e+04
No. Observations:
Df Residuals:
2551 BIC:
Df Model:
7
Covariance Type:
nonrobust
0.268
2.190e+04
========================================================================
================
coef
std err
t
P>|t|
[0.025
0.975]
---------------------------------------------------------------------------------------const
50.0722
0.982
50.969
0.000
48.146
51.999
Score
0.0011 4.39e-05
24.811
0.000
0.001
0.001
Total Time (Seconds)
-0.0040
0.001
-4.946
0.000
-0.006
-0.002
Class Name_PMF 1
9.2691
0.909
10.197
0.000
7.487
11.052
Class Name_PMF 3
8.2596
1.001
8.253
0.000
6.297
10.222
Class Name_PRE
4.1494
3.597
1.153
0.249
-2.905
11.203
Class Name_SEJ 9
0.8754
1.527
0.573
0.566
-2.118
3.869
Class Name_SUK
16.0543
3.534
4.543
0.000
9.124
22.984
========================================================================
======
Omnibus:
Prob(Omnibus):
51.735 Durbin-Watson:
0.000 Jarque-Bera (JB):
0.402
55.530
Skew:
-0.329 Prob(JB):
8.75e-13
Kurtosis:
3.297 Cond. No.
1.88e+05
========================================================================
======
Notes:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[2] The condition number is large, 1.88e+05. This might indicate that there are
strong multicollinearity or other numerical problems.
0