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Original file line number Diff line number Diff line change
Expand Up @@ -63,7 +63,7 @@ Participant organization:
TU Dortmund University

Name:
EC_RISM_logDexp
EC-RISM_logDexp

Compute time:

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Expand Up @@ -63,7 +63,7 @@ Participant organization:
TU Dortmund University

Name:
EC_RISM_logD
EC-RISM_logD

Compute time:

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Expand Up @@ -63,7 +63,7 @@ Participant organization:
TU Dortmund University

Name:
EC_RISM_logP
EC-RISM_logP

Compute time:

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Expand Up @@ -106,7 +106,7 @@ ETH Zurich
# The name must not exceed 40 characters.
# The 'Name:' keyword is required as shown here.
Name:
Molecular Dynamics Fingerprints (MDFPs)
MD Fingerprints (MDFPs)

#
#
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Expand Up @@ -107,7 +107,7 @@ ETH Zurich
# The name must not exceed 40 characters.
# The 'Name:' keyword is required as shown here.
Name:
Molecular Dynamics Fingerprints (MDFPs)
MD Fingerprints (MDFPs)

#
#
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Expand Up @@ -106,7 +106,7 @@ ETH Zurich
# The name must not exceed 40 characters.
# The 'Name:' keyword is required as shown here.
Name:
Molecular Dynamics Fingerprints (MDFPs)
MD Fingerprints (MDFPs)

#
#
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Original file line number Diff line number Diff line change
Expand Up @@ -106,7 +106,7 @@ ETH Zurich
# The name must not exceed 40 characters.
# The 'Name:' keyword is required as shown here.
Name:
Molecular Dynamics Fingerprints (MDFPs)
MD Fingerprints (MDFPs)

#
#
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602 changes: 301 additions & 301 deletions physical_properties/logD/analysis/analysis_all/logD_dataset.csv

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172 changes: 86 additions & 86 deletions physical_properties/logD/analysis/analysis_ranked/logD_dataset.csv

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26 changes: 14 additions & 12 deletions physical_properties/logD/analysis/functions_analysis_logD.py
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Expand Up @@ -75,7 +75,7 @@ def getperformancestatsbysubmission(dataset,output_directory):

# Correlation Plots
sns.set_theme()
join_plot = sns.jointplot(submission_data.loc[:,"Experimental logD"],submission_data.loc[:,"Predicted logD"],kind="reg")
join_plot = sns.jointplot(x=submission_data.loc[:,"Experimental logD"],y=submission_data.loc[:,"Predicted logD"],kind="reg")

## Adding Diagonal line to plot with errors
### Find extreme values to make axes equal.
Expand Down Expand Up @@ -115,29 +115,31 @@ def getperformancestatsbysubmission(dataset,output_directory):
corr_stats_df_by_submission.to_csv(corr_plots_dir+"corr_stats_all_combos"+".csv")

# Absolute Error Plots by Method and hued by method category
plt.figure(figsize=(15,10))
plt.figure(figsize=(15,5))
sns.set_theme()
sns.barplot(x='Method Name',y='Absolute Error', hue = 'Method Category',palette="Set1",data = dataset,dodge=False)
plt.xlabel("Method",fontsize = 16)
plt.ylabel("Absolute Error",fontsize = 16)
plt.title("Absolute Error Plot based on Method-All Solvent Combinations",fontsize=18)
plt.xlabel("Method",fontsize = 18)
plt.ylabel("Absolute Error",fontsize = 18)
plt.title("Absolute Error Plot Based on Method-All Solvent Combinations",fontsize=18)
plt.legend(loc="best")
plt.gcf().subplots_adjust(bottom=0.35)
plt.xticks(rotation=90)
plt.yticks(fontsize=14)
plt.xticks(rotation=60, fontsize=16)
error_plots_dir = output_directory+"Performance_stats_by_submission/"+"Error_plots/"
if not os.path.exists(error_plots_dir):
os.makedirs(error_plots_dir)
plt.savefig(error_plots_dir+"Absolute_Errors_all_combo_by_method"+".pdf")

# Absolute error plot for all solvent combinations
plt.figure(figsize=(15,10))
plt.figure(figsize=(15,5))
sns.set_theme()
sns.barplot(x='Solvent-Combo',y='Absolute Error',palette = 'husl',data = dataset,dodge=False)
plt.xlabel("Solvent Combinations",fontsize = 16)
plt.ylabel("Absolute Error",fontsize = 16)
plt.title("Absolute Error Plot based on Solvent Combinations",fontsize=18)
plt.gcf().subplots_adjust(bottom=0.25)
plt.xticks(rotation=90)
plt.xlabel("Solvent Combinations",fontsize = 18)
plt.ylabel("Absolute Error",fontsize = 18)
plt.title("Absolute Error Plot Based on Solvent Combinations",fontsize=18)
plt.gcf().subplots_adjust(bottom=0.35)
plt.yticks(fontsize=14)
plt.xticks(rotation=60, fontsize=18)
plt.savefig(error_plots_dir+"Absolute_error_all_combo_by_solvent_combo"+".pdf")

return corr_stats_df_by_submission
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