Francois 1956

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   3  0.812  0.142  0.233  0.564  0.512  0.53
Anderszewski 2003   73  0.4042  0.0072  0.0465  0.0448  0.0472  0.04
Ashkenazy 1981   68  0.4537  0.0051  0.0549  0.0552  0.0474  0.04
Bacha 2000   70  0.4257  0.0082  0.0380  0.0347  0.0667  0.04
Badura 1965   56  0.5251  0.0055  0.0462  0.0452  0.0473  0.04
Barbosa 1983   22  0.6729  0.0123  0.0724  0.2615  0.4018  0.32
Biret 1990   29  0.6315  0.0140  0.0437  0.1339  0.1539  0.14
Blet 2003   28  0.6459  0.0039  0.0533  0.1537  0.1538  0.15
Block 1995   61  0.4970  0.0076  0.0381  0.0354  0.0481  0.03
Blumental 1952   79  0.2265  0.0063  0.0372  0.0351  0.0482  0.03
Boshniakovich 1969   67  0.4677  0.0074  0.0373  0.0369  0.0383  0.03
Brailowsky 1960   63  0.4850  0.0077  0.0383  0.0361  0.0476  0.03
Bunin 1987   38  0.6235  0.0047  0.0550  0.0536  0.2049  0.10
Bunin 1987b   39  0.6244  0.0048  0.0745  0.0736  0.1944  0.12
Chiu 1999   71  0.4169  0.0065  0.0466  0.0451  0.0570  0.04
Cohen 1997   82  0.1946  0.0084  0.0284  0.0261  0.0484  0.03
Cortot 1951   44  0.5810  0.0246  0.0554  0.0533  0.2251  0.10
Csalog 1996   58  0.5131  0.0153  0.0547  0.0536  0.2248  0.10
Czerny 1949   1  0.831  0.271  0.271  0.682  0.681  0.68
Czerny 1990   4  0.7924  0.016  0.142  0.568  0.465  0.51
Duchoud 2007   30  0.6378  0.0045  0.0551  0.0541  0.1258  0.08
Ezaki 2006   8  0.758  0.0211  0.158  0.4811  0.439  0.45
Falvay 1989   7  0.756  0.049  0.126  0.5210  0.427  0.47
Farrell 1958   48  0.5718  0.0160  0.0468  0.0434  0.1359  0.07
Ferenczy 1958   43  0.5843  0.0050  0.0552  0.0534  0.2446  0.11
Fliere 1977   13  0.7274  0.0021  0.0721  0.2927  0.2324  0.26
Fou 1978   53  0.5316  0.0118  0.0728  0.1937  0.2031  0.19
Francois 1956   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Friedman 1923   86  0.0888  0.0068  0.0556  0.0537  0.2052  0.10
Friedman 1923b   85  0.0972  0.0067  0.0548  0.0536  0.1950  0.10
Friedman 1930   74  0.3875  0.0057  0.0374  0.0329  0.3055  0.09
Garcia 2007   83  0.1679  0.0085  0.0285  0.0279  0.0388  0.02
Garcia 2007b   87  -0.0185  0.0087  0.0288  0.0280  0.0390  0.02
Gierzod 1998   21  0.6761  0.0024  0.0719  0.3015  0.2921  0.29
Gornostaeva 1994   5  0.774  0.075  0.149  0.466  0.468  0.46
Groot 1988   2  0.825  0.064  0.125  0.545  0.503  0.52
Harasiewicz 1955   54  0.5327  0.0131  0.0527  0.2033  0.1734  0.18
Hatto 1993   84  0.1480  0.0081  0.0382  0.0362  0.0386  0.03
Hatto 1997   78  0.2767  0.0073  0.0459  0.0475  0.0380  0.03
Horowitz 1949   50  0.5623  0.0128  0.0731  0.1926  0.2728  0.23
Indjic 1988   81  0.1971  0.0080  0.0375  0.0372  0.0379  0.03
Kapell 1951   11  0.739  0.0214  0.0815  0.3322  0.4014  0.36
Kissin 1993   35  0.6241  0.0033  0.0730  0.1922  0.3226  0.25
Kushner 1989   19  0.6763  0.0026  0.0723  0.2725  0.3022  0.28
Luisada 1991   69  0.4540  0.0070  0.0471  0.0453  0.0568  0.04
Lushtak 2004   51  0.5455  0.0034  0.0729  0.1934  0.1733  0.18
Malcuzynski 1961   6  0.7626  0.0110  0.117  0.499  0.476  0.48
Magaloff 1978   27  0.6417  0.0135  0.0532  0.1739  0.1536  0.16
Magin 1975   75  0.3522  0.0129  0.0544  0.0961  0.0366  0.05
Michalowski 1933   77  0.3186  0.0069  0.0376  0.0356  0.0571  0.04
Milkina 1970   32  0.6328  0.0144  0.0543  0.1043  0.1443  0.12
Mohovich 1999   9  0.7433  0.0013  0.0911  0.3821  0.3613  0.37
Moravec 1969   10  0.7448  0.0019  0.0626  0.2314  0.4319  0.31
Morozova 2008   59  0.5176  0.0032  0.0536  0.1334  0.1441  0.13
Neighaus 1950   14  0.723  0.073  0.134  0.5513  0.494  0.52
Niedzielski 1931   41  0.6145  0.0052  0.0457  0.0426  0.2253  0.09
Ohlsson 1999   40  0.6136  0.0054  0.0553  0.0541  0.1356  0.08
Osinska 1989   12  0.7321  0.0120  0.0618  0.319  0.3916  0.35
Pachmann 1927   66  0.4783  0.0058  0.0378  0.0341  0.1361  0.06
Paderewski 1930   47  0.5719  0.0164  0.0460  0.0442  0.0960  0.06
Perlemuter 1992   31  0.6381  0.0036  0.0438  0.1330  0.2035  0.16
Pierdomenico 2008   42  0.5956  0.0049  0.0646  0.0628  0.2245  0.11
Poblocka 1999   37  0.6238  0.0043  0.0639  0.1239  0.1540  0.13
Rabcewiczowa 1932   17  0.7014  0.0115  0.0810  0.3810  0.4710  0.42
Rachmaninoff 1923   26  0.6532  0.0027  0.0720  0.2920  0.2920  0.29
Rangell 2001   64  0.4789  0.0083  0.0469  0.0468  0.0385  0.03
Richter 1976   60  0.5149  0.0066  0.0458  0.0481  0.0378  0.03
Rosen 1989   36  0.627  0.0316  0.1017  0.3119  0.4215  0.36
Rosenthal 1930   25  0.6587  0.0041  0.0541  0.1024  0.3632  0.19
Rosenthal 1931   65  0.4764  0.0075  0.0379  0.0342  0.1162  0.06
Rosenthal 1931b   72  0.4068  0.0079  0.0467  0.0443  0.0964  0.06
Rosenthal 1931c   34  0.6247  0.0037  0.0440  0.1117  0.3630  0.20
Rosenthal 1931d   62  0.4934  0.0078  0.0377  0.0352  0.0575  0.04
Rossi 2007   76  0.3453  0.0071  0.0461  0.0415  0.2547  0.10
Rubinstein 1939   80  0.2258  0.0086  0.0289  0.0267  0.0477  0.03
Rubinstein 1952   45  0.5811  0.0259  0.0464  0.0443  0.1065  0.06
Rubinstein 1966   49  0.5752  0.0056  0.0470  0.0431  0.2154  0.09
Schilhawsky 1960   24  0.6666  0.0025  0.0725  0.2529  0.2427  0.24
Shebanova 2002   52  0.5339  0.0062  0.0463  0.0433  0.1857  0.08
Smith 1975   15  0.7030  0.0112  0.1114  0.3329  0.2223  0.27
Sokolov 2002   23  0.6660  0.0022  0.0722  0.2733  0.2625  0.26
Sztompka 1959   33  0.6284  0.0042  0.0734  0.1427  0.3429  0.22
Tomsic 1995   18  0.6925  0.0117  0.0916  0.3216  0.3717  0.34
Uninsky 1932   55  0.5282  0.0038  0.0442  0.1036  0.1842  0.13
Uninsky 1971   46  0.5712  0.0130  0.0535  0.1339  0.1937  0.16
Wasowski 1980   57  0.5154  0.0061  0.0555  0.0573  0.0469  0.04
Zak 1937   20  0.6720  0.017  0.1213  0.3412  0.4112  0.37
Zak 1951   16  0.7013  0.018  0.1612  0.3712  0.4411  0.40
Random 1   90  -0.1790  0.0090  0.0190  0.0178  0.0389  0.02
Random 2   89  -0.0873  0.0089  0.0287  0.0275  0.0287  0.02
Random 3   88  -0.0662  0.0088  0.0286  0.0230  0.2063  0.06

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).