Francois 1956

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   8  0.7155  0.0015  0.1810  0.4872  0.0426  0.14
Anderszewski 2003   26  0.6411  0.0232  0.0642  0.1162  0.0450  0.07
Ashkenazy 1981   59  0.5241  0.0061  0.0548  0.0561  0.0470  0.04
Bacha 2000   23  0.6451  0.0028  0.0924  0.3035  0.1321  0.20
Badura 1965   69  0.5030  0.0078  0.0285  0.0260  0.0586  0.03
Barbosa 1983   81  0.4553  0.0057  0.0555  0.0556  0.0559  0.05
Biret 1990   17  0.6637  0.0016  0.1215  0.4524  0.2511  0.34
Blet 2003   29  0.6385  0.0034  0.0632  0.2146  0.0832  0.13
Block 1995   78  0.4682  0.0066  0.0377  0.0381  0.0387  0.03
Blumental 1952   24  0.6410  0.0312  0.119  0.4931  0.1616  0.28
Boshniakovich 1969   40  0.607  0.0448  0.0463  0.0460  0.0569  0.04
Brailowsky 1960   25  0.6438  0.0054  0.0553  0.0548  0.0557  0.05
Bunin 1987   85  0.3948  0.0085  0.0473  0.0468  0.0471  0.04
Bunin 1987b   86  0.3771  0.0084  0.0286  0.0268  0.0478  0.03
Chiu 1999   58  0.5228  0.0050  0.0468  0.0455  0.0464  0.04
Cohen 1997   82  0.4247  0.0077  0.0380  0.0334  0.2248  0.08
Cortot 1951   75  0.4883  0.0082  0.0464  0.0483  0.0389  0.03
Csalog 1996   71  0.5044  0.0052  0.0645  0.0633  0.1837  0.10
Czerny 1949   28  0.6445  0.0041  0.0534  0.1667  0.0446  0.08
Czerny 1990   1  0.771  0.251  0.241  0.6112  0.423  0.51
Duchoud 2007   84  0.3962  0.0083  0.0382  0.0373  0.0384  0.03
Ezaki 2006   45  0.5875  0.0056  0.0552  0.0583  0.0363  0.04
Falvay 1989   21  0.6519  0.0130  0.0731  0.228  0.5310  0.34
Farrell 1958   20  0.6540  0.0010  0.1112  0.4725  0.336  0.39
Ferenczy 1958   39  0.605  0.0624  0.0836  0.1539  0.1035  0.12
Fliere 1977   30  0.6354  0.0042  0.0439  0.1258  0.0543  0.08
Fou 1978   16  0.6713  0.028  0.1411  0.4832  0.1814  0.29
Francois 1956   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Friedman 1923   57  0.5376  0.0073  0.0471  0.0463  0.0575  0.04
Friedman 1923b   60  0.5263  0.0074  0.0460  0.0463  0.0572  0.04
Friedman 1930   49  0.5677  0.0069  0.0383  0.0345  0.0860  0.05
Garcia 2007   34  0.6272  0.0029  0.0826  0.2851  0.0633  0.13
Garcia 2007b   37  0.6239  0.0026  0.0927  0.2761  0.0438  0.10
Gierzod 1998   12  0.6958  0.0017  0.1013  0.4651  0.0622  0.17
Gornostaeva 1994   18  0.6646  0.0033  0.0630  0.2441  0.0924  0.15
Groot 1988   27  0.643  0.079  0.1220  0.4229  0.309  0.35
Harasiewicz 1955   53  0.5634  0.0063  0.0456  0.0454  0.0573  0.04
Hatto 1993   72  0.4989  0.0070  0.0284  0.0277  0.0488  0.03
Hatto 1997   64  0.5168  0.0071  0.0375  0.0378  0.0483  0.03
Horowitz 1949   83  0.4178  0.0086  0.0465  0.0460  0.0566  0.04
Indjic 1988   62  0.5186  0.0065  0.0469  0.0478  0.0467  0.04
Kapell 1951   46  0.5880  0.0040  0.0641  0.1265  0.0449  0.07
Kissin 1993   32  0.6320  0.0125  0.0725  0.2968  0.0341  0.09
Kushner 1989   2  0.762  0.152  0.304  0.5613  0.472  0.51
Luisada 1991   41  0.5960  0.0027  0.0829  0.2448  0.0634  0.12
Lushtak 2004   22  0.6536  0.0023  0.1021  0.3751  0.0527  0.14
Malcuzynski 1961   79  0.4626  0.0068  0.0379  0.0370  0.0379  0.03
Magaloff 1978   13  0.6822  0.0121  0.0823  0.3210  0.408  0.36
Magin 1975   52  0.564  0.067  0.1122  0.3438  0.1519  0.23
Michalowski 1933   36  0.6235  0.0043  0.0544  0.0945  0.0745  0.08
Milkina 1970   15  0.6764  0.0031  0.0628  0.2571  0.0340  0.09
Mohovich 1999   14  0.6742  0.0019  0.0916  0.4364  0.0523  0.15
Moravec 1969   51  0.5665  0.0051  0.0466  0.0423  0.4029  0.13
Morozova 2008   65  0.5125  0.0037  0.0537  0.1457  0.0451  0.07
Neighaus 1950   9  0.7115  0.0122  0.1018  0.4261  0.0528  0.14
Niedzielski 1931   19  0.659  0.0320  0.0819  0.4235  0.2312  0.31
Ohlsson 1999   38  0.6161  0.0036  0.0433  0.2058  0.0536  0.10
Osinska 1989   7  0.726  0.0513  0.138  0.5039  0.1615  0.28
Pachmann 1927   31  0.6350  0.0045  0.0458  0.0411  0.4231  0.13
Paderewski 1930   3  0.748  0.044  0.143  0.561  0.591  0.57
Perlemuter 1992   10  0.7014  0.0114  0.1214  0.4537  0.1418  0.25
Pierdomenico 2008   42  0.5927  0.0018  0.1117  0.434  0.544  0.48
Poblocka 1999   54  0.5521  0.0149  0.0549  0.0547  0.0753  0.06
Rabcewiczowa 1932   5  0.7216  0.013  0.126  0.538  0.415  0.47
Rachmaninoff 1923   33  0.6232  0.0038  0.0535  0.1652  0.0539  0.09
Rangell 2001   80  0.4649  0.0058  0.0457  0.0431  0.2242  0.09
Richter 1976   87  0.2781  0.0087  0.0374  0.0378  0.0380  0.03
Rosen 1989   11  0.6943  0.006  0.147  0.5122  0.297  0.38
Rosenthal 1930   77  0.4731  0.0081  0.0467  0.0471  0.0385  0.03
Rosenthal 1931   74  0.4873  0.0079  0.0287  0.0247  0.0681  0.03
Rosenthal 1931b   67  0.5184  0.0067  0.0378  0.0341  0.1062  0.05
Rosenthal 1931c   76  0.4774  0.0080  0.0472  0.0458  0.0474  0.04
Rosenthal 1931d   70  0.5069  0.0076  0.0470  0.0439  0.1352  0.07
Rossi 2007   47  0.5817  0.0153  0.0550  0.0520  0.3430  0.13
Rubinstein 1939   66  0.5179  0.0072  0.0376  0.0383  0.0377  0.03
Rubinstein 1952   63  0.5159  0.0039  0.0538  0.1331  0.3420  0.21
Rubinstein 1966   50  0.5633  0.0062  0.0551  0.0570  0.0468  0.04
Schilhawsky 1960   61  0.5229  0.0075  0.0381  0.0367  0.0482  0.03
Shebanova 2002   4  0.7324  0.015  0.142  0.5740  0.1713  0.31
Smith 1975   35  0.6256  0.0035  0.0540  0.1251  0.0544  0.08
Sokolov 2002   68  0.5123  0.0159  0.0461  0.0469  0.0376  0.03
Sztompka 1959   6  0.7218  0.0111  0.115  0.5542  0.1317  0.27
Tomsic 1995   55  0.5552  0.0055  0.0554  0.0524  0.4125  0.14
Uninsky 1932   56  0.5466  0.0060  0.0547  0.0568  0.0561  0.05
Uninsky 1971   73  0.4987  0.0064  0.0462  0.0452  0.0658  0.05
Wasowski 1980   44  0.5912  0.0247  0.0546  0.0555  0.0656  0.05
Zak 1937   43  0.5988  0.0046  0.0459  0.0465  0.0465  0.04
Zak 1951   48  0.5767  0.0044  0.0543  0.1061  0.0454  0.06
Random 1   90  -0.2490  0.0090  0.0190  0.0169  0.0390  0.02
Random 2   89  -0.1370  0.0089  0.0289  0.0225  0.2155  0.06
Random 3   88  -0.0657  0.0088  0.0288  0.0223  0.3247  0.08

Note: To load data table give above into Excel, copy and paste the data into a text editor (such as WordPad) first, then copy the text in the editor and past into Excel. You should remove the "target" line from the data before pasting into Excel so that plotting graphs of the data is done properly.

Column descriptions

  • Performance:
  • 0-Rank/0-Score: 0-Score is equivalent to Pearson correlation of the entire data sequence between the reference performance and a test performance. 0-Rank is the sorting order of the 0-scores (highest score has a rank of 1).
  • 1-Rank/1-Score: 1-Score is the area fraction covered by a particular performance in the scape plot (see image above). These values should not be taken literally, since they are sensitive to the Hatto Effect.
  • 2-Rank/2-Score: 2-Score values are equivalent to 1-Score values with all higher-ranking performances removed before the calculation of the area of coverage in the scape is calculated. Improvment over the 1-Rank scores, but still somewhat sensitive to the Hatto Effect.
  • 3-Rank/3-Score: Similar to 2-Rank calculations. The bottom 1/2 of the 2-rank performances are kept constant as a noise floor for the similarity measurement. Then one-by-one the top 1/2 of the 2-rank performances are superimposed with the noise-floor performances, and a 3-score is measured as the area covered in the scape. This measure is not sentisive to the Hatto Effect.
  • 3R-Rank/3R-Score: Reverse 3-rank/3-scores. 3-rankings and scores are not symmetric (A->B values are different from B->A values). So this column represents similarity measures in the opposite direction.
  • 4-Rank/4-Score: The geometric mean between 3-scores and 3R-scores. This column gives the best overall similarity ranking between the various performances (see color codes below).
  • NED: Noise Equivalient Distance (not yet implemented)

Color codes for 3-rank listings:

  • red = strongly similar performance to target
  • orange = moderately similar performance
  • yellow = weakly similar performance
  • green = marginally similar/dissimilar performance
  • white = dissimilar to target
  • blue = false positive (has high 3-rank score but low 3R-rank score)

3-rank/scores are not symmetric, so the 3R-rank/score columns give the 3-rank/scores going in the opposite direction. More matches in the 3-rank column than in the 3R-rank column indicates an individualistic performance, while more matches in the 3R-rank column indicates a mainstream performance.

If a 3-rank and a 3R-rank are both marked as similar to each other, then there is a possible direct relation between the performances. If one is similar to the other but not in the reverse direction, then the similarity is more likely to be by chance (performers randomly chose a similar interpretation).