Czerny 1990

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   2  0.831  0.271  0.272  0.652  0.623  0.63
Anderszewski 2003   39  0.6731  0.0047  0.0550  0.0523  0.2660  0.11
Ashkenazy 1981   49  0.6423  0.0032  0.0634  0.1832  0.2237  0.20
Bacha 2000   69  0.5467  0.0070  0.0549  0.0542  0.1566  0.09
Badura 1965   55  0.6252  0.0061  0.0465  0.0435  0.2365  0.10
Barbosa 1983   66  0.5742  0.0062  0.0467  0.0421  0.2858  0.11
Biret 1990   22  0.7038  0.0023  0.0721  0.3217  0.3424  0.33
Blet 2003   13  0.7445  0.0019  0.0917  0.414  0.5215  0.46
Block 1995   68  0.5447  0.0072  0.0385  0.0344  0.0974  0.05
Blumental 1952   53  0.6318  0.0117  0.1324  0.282  0.4821  0.37
Boshniakovich 1969   51  0.6464  0.0065  0.0468  0.0468  0.0481  0.04
Brailowsky 1960   56  0.6163  0.0076  0.0378  0.0363  0.0575  0.04
Bunin 1987   73  0.5383  0.0082  0.0286  0.0247  0.0687  0.03
Bunin 1987b   74  0.5185  0.0083  0.0461  0.0449  0.0673  0.05
Chiu 1999   60  0.5979  0.0060  0.0372  0.0323  0.3163  0.10
Cohen 1997   87  0.3029  0.0087  0.0463  0.0469  0.0482  0.04
Cortot 1951   38  0.6825  0.0051  0.0548  0.0518  0.3852  0.14
Csalog 1996   82  0.4784  0.0081  0.0287  0.0243  0.1079  0.04
Czerny 1949   1  0.842  0.142  0.191  0.691  0.701  0.69
Czerny 1990   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Duchoud 2007   62  0.5932  0.0066  0.0459  0.0439  0.1569  0.08
Ezaki 2006   3  0.823  0.103  0.203  0.651  0.622  0.63
Falvay 1989   40  0.6713  0.0155  0.0547  0.0512  0.4846  0.15
Farrell 1958   46  0.6558  0.0056  0.0466  0.0419  0.2764  0.10
Ferenczy 1958   52  0.6339  0.0046  0.0555  0.0525  0.2661  0.11
Fliere 1977   6  0.8036  0.0013  0.1011  0.5019  0.4016  0.45
Fou 1978   58  0.5926  0.0039  0.0443  0.0951  0.0571  0.07
Francois 1956   7  0.784  0.094  0.224  0.581  0.684  0.63
Friedman 1923   83  0.4688  0.0069  0.0551  0.0511  0.4945  0.16
Friedman 1923b   84  0.4689  0.0064  0.0460  0.0411  0.4851  0.14
Friedman 1930   61  0.5956  0.0048  0.0646  0.0612  0.4640  0.17
Garcia 2007   72  0.5386  0.0079  0.0384  0.0347  0.0680  0.04
Garcia 2007b   86  0.3982  0.0080  0.0380  0.0352  0.0584  0.04
Gierzod 1998   11  0.7450  0.0015  0.1015  0.4614  0.4417  0.45
Gornostaeva 1994   19  0.7143  0.0036  0.0636  0.1613  0.4632  0.27
Groot 1988   43  0.6644  0.0040  0.0541  0.1032  0.3042  0.17
Harasiewicz 1955   47  0.6549  0.0030  0.0630  0.2133  0.2136  0.21
Hatto 1993   75  0.5180  0.0068  0.0457  0.0462  0.0483  0.04
Hatto 1997   67  0.5640  0.0059  0.0376  0.0341  0.1172  0.06
Horowitz 1949   65  0.5778  0.0078  0.0379  0.0364  0.0485  0.03
Indjic 1988   71  0.5351  0.0067  0.0469  0.0464  0.0478  0.04
Kapell 1951   15  0.7311  0.0211  0.1112  0.507  0.4713  0.48
Kissin 1993   14  0.7434  0.0022  0.0918  0.4113  0.4518  0.43
Kushner 1989   4  0.8127  0.006  0.117  0.544  0.5710  0.55
Luisada 1991   29  0.6972  0.0024  0.0727  0.2525  0.3826  0.31
Lushtak 2004   45  0.6654  0.0031  0.0732  0.1835  0.1741  0.17
Malcuzynski 1961   24  0.7035  0.0035  0.0531  0.197  0.4828  0.30
Magaloff 1978   32  0.6916  0.0134  0.0535  0.1710  0.4431  0.27
Magin 1975   48  0.6520  0.0127  0.0828  0.2511  0.4125  0.32
Michalowski 1933   64  0.5871  0.0054  0.0553  0.0520  0.3949  0.14
Milkina 1970   23  0.7019  0.0121  0.0823  0.2924  0.3327  0.31
Mohovich 1999   12  0.7414  0.0116  0.1310  0.506  0.5611  0.53
Moravec 1969   16  0.7312  0.0210  0.1413  0.471  0.726  0.58
Morozova 2008   18  0.7253  0.0014  0.1119  0.396  0.4219  0.40
Neighaus 1950   28  0.6977  0.0020  0.0920  0.3230  0.2430  0.28
Niedzielski 1931   27  0.709  0.0226  0.0829  0.212  0.5923  0.35
Ohlsson 1999   35  0.6815  0.0144  0.0444  0.0835  0.1755  0.12
Osinska 1989   5  0.816  0.0312  0.118  0.534  0.589  0.55
Pachmann 1927   78  0.5068  0.0084  0.0381  0.0349  0.0577  0.04
Paderewski 1930   33  0.6960  0.0050  0.0552  0.0511  0.3748  0.14
Perlemuter 1992   21  0.7146  0.0025  0.0722  0.3113  0.4122  0.36
Pierdomenico 2008   59  0.5969  0.0063  0.0464  0.0420  0.4154  0.13
Poblocka 1999   36  0.6873  0.0043  0.0440  0.1133  0.1847  0.14
Rabcewiczowa 1932   9  0.7617  0.017  0.139  0.511  0.657  0.58
Rachmaninoff 1923   17  0.728  0.028  0.125  0.551  0.665  0.60
Rangell 2001   80  0.4957  0.0077  0.0382  0.0355  0.0488  0.03
Richter 1976   76  0.5165  0.0085  0.0373  0.0359  0.0576  0.04
Rosen 1989   20  0.717  0.039  0.1214  0.4612  0.4914  0.47
Rosenthal 1930   54  0.6248  0.0057  0.0375  0.039  0.5056  0.12
Rosenthal 1931   79  0.5075  0.0071  0.0371  0.0318  0.4259  0.11
Rosenthal 1931b   81  0.4770  0.0075  0.0462  0.0420  0.3362  0.11
Rosenthal 1931c   57  0.6055  0.0052  0.0554  0.058  0.5643  0.17
Rosenthal 1931d   77  0.5141  0.0074  0.0383  0.0323  0.2767  0.09
Rossi 2007   63  0.5810  0.0253  0.0456  0.041  0.6644  0.16
Rubinstein 1939   85  0.4666  0.0086  0.0470  0.0442  0.1370  0.07
Rubinstein 1952   70  0.5459  0.0073  0.0377  0.0334  0.2568  0.09
Rubinstein 1966   44  0.6621  0.0141  0.0542  0.0927  0.3539  0.18
Schilhawsky 1960   37  0.6876  0.0037  0.0538  0.1432  0.3235  0.21
Shebanova 2002   25  0.7037  0.0042  0.0439  0.1121  0.3238  0.19
Smith 1975   10  0.7524  0.0018  0.1316  0.454  0.5412  0.49
Sokolov 2002   41  0.6728  0.0038  0.0637  0.1523  0.3833  0.24
Sztompka 1959   8  0.775  0.095  0.216  0.552  0.628  0.58
Tomsic 1995   50  0.6462  0.0058  0.0374  0.0317  0.4457  0.11
Uninsky 1932   26  0.7030  0.0029  0.0625  0.279  0.5420  0.38
Uninsky 1971   42  0.6661  0.0049  0.0645  0.0630  0.3250  0.14
Wasowski 1980   30  0.6922  0.0145  0.0458  0.045  0.4153  0.13
Zak 1937   31  0.6974  0.0033  0.0633  0.1827  0.2734  0.22
Zak 1951   34  0.6933  0.0028  0.0726  0.2622  0.3029  0.28
Random 1   90  -0.1990  0.0090  0.0190  0.0183  0.0290  0.01
Random 2   89  -0.1187  0.0088  0.0289  0.0271  0.0389  0.02
Random 3   88  -0.0981  0.0089  0.0288  0.0263  0.0486  0.03

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).