Czerny 1949

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   3  0.843  0.103  0.313  0.615  0.536  0.57
Anderszewski 2003   28  0.7211  0.0143  0.0942  0.1947  0.0746  0.12
Ashkenazy 1981   45  0.6459  0.0030  0.0731  0.3820  0.3335  0.35
Bacha 2000   69  0.5385  0.0066  0.0470  0.0475  0.0378  0.03
Badura 1965   27  0.7265  0.0034  0.0634  0.3417  0.5128  0.42
Barbosa 1983   81  0.4248  0.0076  0.0378  0.0352  0.0571  0.04
Biret 1990   64  0.5556  0.0064  0.0553  0.0571  0.0474  0.04
Blet 2003   49  0.6349  0.0061  0.0463  0.0454  0.0662  0.05
Block 1995   65  0.5579  0.0049  0.0471  0.0434  0.1453  0.07
Blumental 1952   70  0.5217  0.0142  0.0744  0.1541  0.1047  0.12
Boshniakovich 1969   19  0.7629  0.0023  0.1025  0.4420  0.4725  0.45
Brailowsky 1960   68  0.5313  0.0174  0.0381  0.0352  0.0479  0.03
Bunin 1987   46  0.6436  0.0038  0.1037  0.315  0.5430  0.41
Bunin 1987b   51  0.6244  0.0037  0.0838  0.315  0.5429  0.41
Chiu 1999   71  0.5066  0.0067  0.0465  0.0477  0.0381  0.03
Cohen 1997   88  0.2263  0.0086  0.0384  0.0365  0.0487  0.03
Cortot 1951   31  0.7123  0.0041  0.0841  0.2418  0.4237  0.32
Csalog 1996   84  0.3486  0.0080  0.0288  0.0252  0.0484  0.03
Czerny 1949   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Czerny 1990   11  0.794  0.089  0.128  0.556  0.5111  0.53
Duchoud 2007   67  0.5480  0.0056  0.0462  0.0431  0.2149  0.09
Ezaki 2006   26  0.7252  0.0035  0.0630  0.3923  0.3534  0.37
Falvay 1989   86  0.2969  0.0088  0.0380  0.0379  0.0290  0.02
Farrell 1958   63  0.5524  0.0060  0.0469  0.0458  0.0570  0.04
Ferenczy 1958   54  0.6060  0.0059  0.0652  0.0668  0.0463  0.05
Fliere 1977   4  0.8321  0.007  0.135  0.5715  0.4117  0.48
Fou 1978   57  0.5876  0.0055  0.0651  0.0675  0.0459  0.05
Francois 1956   48  0.6467  0.0057  0.0468  0.0435  0.1651  0.08
Friedman 1923   10  0.7919  0.0015  0.1112  0.536  0.634  0.58
Friedman 1923b   12  0.7940  0.0013  0.1110  0.536  0.633  0.58
Friedman 1930   9  0.7946  0.0019  0.1218  0.496  0.618  0.55
Garcia 2007   33  0.7027  0.0036  0.0740  0.2821  0.3736  0.32
Garcia 2007b   40  0.6770  0.0031  0.0833  0.3412  0.5031  0.41
Gierzod 1998   2  0.852  0.172  0.214  0.597  0.582  0.58
Gornostaeva 1994   47  0.6437  0.0050  0.0555  0.0546  0.0756  0.06
Groot 1988   73  0.4961  0.0062  0.0559  0.0552  0.0665  0.05
Harasiewicz 1955   14  0.7818  0.0014  0.1116  0.5110  0.4520  0.48
Hatto 1993   25  0.7212  0.0126  0.1324  0.469  0.5316  0.49
Hatto 1997   23  0.7425  0.0025  0.1323  0.4610  0.4923  0.47
Horowitz 1949   24  0.7350  0.0027  0.0826  0.4411  0.5121  0.47
Indjic 1988   21  0.7535  0.0024  0.1222  0.469  0.5119  0.48
Kapell 1951   41  0.6671  0.0028  0.0632  0.3736  0.1341  0.22
Kissin 1993   22  0.7420  0.0018  0.1215  0.5112  0.4814  0.49
Kushner 1989   36  0.6943  0.0054  0.0649  0.0657  0.0560  0.05
Luisada 1991   42  0.6572  0.0046  0.0748  0.0763  0.0554  0.06
Lushtak 2004   53  0.6153  0.0058  0.0472  0.0476  0.0386  0.03
Malcuzynski 1961   39  0.677  0.0522  0.1036  0.312  0.5927  0.43
Magaloff 1978   62  0.5654  0.0071  0.0557  0.0555  0.0657  0.05
Magin 1975   37  0.6839  0.0021  0.1121  0.4720  0.4026  0.43
Michalowski 1933   32  0.7141  0.0020  0.1019  0.489  0.5313  0.50
Milkina 1970   44  0.6522  0.0053  0.0554  0.0546  0.0755  0.06
Mohovich 1999   58  0.5782  0.0063  0.0466  0.0466  0.0573  0.04
Moravec 1969   72  0.4915  0.0173  0.0475  0.0458  0.0566  0.04
Morozova 2008   50  0.6333  0.0045  0.0645  0.1230  0.2443  0.17
Neighaus 1950   7  0.8110  0.018  0.159  0.5411  0.5012  0.52
Niedzielski 1931   6  0.8116  0.0111  0.1317  0.512  0.645  0.57
Ohlsson 1999   30  0.7181  0.0029  0.0629  0.3919  0.3833  0.38
Osinska 1989   20  0.7530  0.0040  0.1039  0.2832  0.2540  0.26
Pachmann 1927   52  0.6168  0.0069  0.0556  0.0538  0.1350  0.08
Paderewski 1930   60  0.5673  0.0065  0.0650  0.0649  0.0461  0.05
Perlemuter 1992   43  0.6528  0.0052  0.0473  0.0444  0.1252  0.07
Pierdomenico 2008   82  0.3674  0.0082  0.0383  0.0355  0.0667  0.04
Poblocka 1999   18  0.7677  0.0016  0.1220  0.4712  0.4918  0.48
Rabcewiczowa 1932   66  0.5431  0.0068  0.0460  0.0474  0.0469  0.04
Rachmaninoff 1923   13  0.788  0.0312  0.1111  0.533  0.587  0.55
Rangell 2001   85  0.3355  0.0083  0.0377  0.0358  0.0488  0.03
Richter 1976   35  0.6987  0.0039  0.0835  0.3214  0.5132  0.40
Rosen 1989   55  0.6083  0.0051  0.0464  0.0460  0.0472  0.04
Rosenthal 1930   56  0.599  0.0348  0.0558  0.0516  0.3244  0.13
Rosenthal 1931   78  0.4588  0.0081  0.0287  0.0262  0.0483  0.03
Rosenthal 1931b   77  0.4589  0.0079  0.0382  0.0374  0.0489  0.03
Rosenthal 1931c   76  0.4762  0.0072  0.0461  0.0466  0.0476  0.04
Rosenthal 1931d   79  0.4590  0.0084  0.0467  0.0470  0.0475  0.04
Rossi 2007   80  0.4434  0.0078  0.0286  0.0274  0.0480  0.03
Rubinstein 1939   74  0.4832  0.0075  0.0285  0.0247  0.0768  0.04
Rubinstein 1952   87  0.2558  0.0085  0.0474  0.0482  0.0477  0.04
Rubinstein 1966   75  0.4751  0.0077  0.0376  0.0372  0.0485  0.03
Schilhawsky 1960   1  0.861  0.261  0.252  0.662  0.651  0.65
Shebanova 2002   15  0.7747  0.0017  0.1614  0.5213  0.4124  0.46
Smith 1975   59  0.5764  0.0070  0.0747  0.0774  0.0358  0.05
Sokolov 2002   61  0.5684  0.0047  0.0746  0.0733  0.1945  0.12
Sztompka 1959   8  0.8026  0.0010  0.1213  0.5213  0.4322  0.47
Tomsic 1995   83  0.3478  0.0087  0.0379  0.0378  0.0382  0.03
Uninsky 1932   16  0.775  0.065  0.176  0.554  0.559  0.55
Uninsky 1971   17  0.7714  0.014  0.167  0.553  0.5210  0.53
Wasowski 1980   38  0.6742  0.0044  0.0843  0.1824  0.2142  0.19
Zak 1937   29  0.7157  0.0033  0.1227  0.4331  0.2039  0.29
Zak 1951   34  0.6938  0.0032  0.1028  0.4229  0.2138  0.30
Average   5  0.836  0.066  0.151  0.6820  0.3515  0.49
Random 1   89  -0.0675  0.0089  0.0289  0.028  0.4848  0.10
Random 2   90  -0.1445  0.0090  0.0290  0.0236  0.1364  0.05
Random 3   91  -0.2091  0.0091  0.0191  0.0174  0.0291  0.01

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).