Czerny 1990

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   10  0.6528  0.0014  0.1313  0.507  0.5113  0.50
Anderszewski 2003   64  0.4557  0.0049  0.0746  0.0729  0.2451  0.13
Ashkenazy 1981   13  0.644  0.034  0.102  0.6611  0.506  0.57
Bacha 2000   77  0.3474  0.0080  0.0379  0.0367  0.0380  0.03
Badura 1965   54  0.4969  0.0057  0.0561  0.0522  0.3749  0.14
Barbosa 1983   57  0.4819  0.0151  0.0650  0.0640  0.2352  0.12
Biret 1990   45  0.5139  0.0069  0.0474  0.0475  0.0477  0.04
Blet 2003   23  0.6163  0.0031  0.0721  0.3119  0.4022  0.35
Block 1995   59  0.4761  0.0064  0.0470  0.0459  0.0476  0.04
Blumental 1952   61  0.4751  0.0034  0.0636  0.188  0.4630  0.29
Boshniakovich 1969   55  0.4983  0.0074  0.0384  0.0354  0.0484  0.03
Brailowsky 1960   71  0.4048  0.0081  0.0376  0.0346  0.0671  0.04
Bunin 1987   30  0.5835  0.0036  0.0730  0.2321  0.3631  0.29
Bunin 1987b   28  0.5822  0.0035  0.0729  0.2421  0.3727  0.30
Chiu 1999   50  0.5018  0.0127  0.0534  0.2119  0.4823  0.32
Cohen 1997   88  0.1652  0.0087  0.0289  0.0278  0.0389  0.02
Cortot 1951   66  0.4587  0.0073  0.0552  0.0547  0.0867  0.06
Csalog 1996   73  0.3732  0.0082  0.0469  0.0452  0.0669  0.05
Czerny 1949   7  0.6933  0.0011  0.078  0.5411  0.643  0.59
Czerny 1990   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Duchoud 2007   24  0.6023  0.0022  0.0619  0.3511  0.4918  0.41
Ezaki 2006   17  0.6242  0.0026  0.0623  0.3025  0.3025  0.30
Falvay 1989   31  0.5854  0.0052  0.0560  0.0534  0.1954  0.10
Farrell 1958   69  0.4362  0.0077  0.0473  0.0473  0.0381  0.03
Ferenczy 1958   70  0.4278  0.0072  0.0471  0.0441  0.1364  0.07
Fliere 1977   5  0.707  0.038  0.094  0.6113  0.565  0.58
Fou 1978   51  0.5016  0.0128  0.0738  0.1642  0.1743  0.16
Francois 1956   19  0.6270  0.0024  0.0725  0.2522  0.3528  0.30
Friedman 1923   85  0.2353  0.0056  0.0555  0.0511  0.4547  0.15
Friedman 1923b   84  0.2341  0.0055  0.0563  0.0513  0.4646  0.15
Friedman 1930   72  0.4027  0.0043  0.0642  0.1319  0.4737  0.25
Garcia 2007   80  0.2967  0.0076  0.0385  0.0332  0.2161  0.08
Garcia 2007b   83  0.2558  0.0078  0.0467  0.0437  0.2259  0.09
Gierzod 1998   58  0.4730  0.0047  0.0647  0.0636  0.1557  0.09
Gornostaeva 1994   20  0.6117  0.0123  0.0727  0.2535  0.2139  0.23
Groot 1988   8  0.6629  0.0017  0.0712  0.509  0.5014  0.50
Harasiewicz 1955   52  0.5044  0.0030  0.0624  0.2832  0.2436  0.26
Hatto 1993   75  0.369  0.0240  0.0540  0.1419  0.3341  0.21
Hatto 1997   76  0.3684  0.0050  0.0651  0.0644  0.0963  0.07
Horowitz 1949   27  0.5821  0.0018  0.0722  0.3012  0.4021  0.35
Indjic 1988   74  0.3725  0.0044  0.0644  0.1124  0.2842  0.18
Kapell 1951   6  0.7012  0.017  0.127  0.583  0.558  0.56
Kissin 1993   15  0.6320  0.0020  0.0716  0.4017  0.4317  0.41
Kushner 1989   4  0.7036  0.0012  0.0910  0.528  0.607  0.56
Luisada 1991   35  0.5734  0.0029  0.0832  0.2219  0.3532  0.28
Lushtak 2004   67  0.4575  0.0066  0.0559  0.0558  0.0570  0.05
Malcuzynski 1961   3  0.7147  0.005  0.136  0.598  0.539  0.56
Magaloff 1978   38  0.5688  0.0046  0.0564  0.0566  0.0372  0.04
Magin 1975   43  0.5310  0.0221  0.0731  0.2315  0.4026  0.30
Michalowski 1933   63  0.4555  0.0042  0.0641  0.1416  0.4238  0.24
Milkina 1970   47  0.5179  0.0063  0.0468  0.0464  0.0474  0.04
Mohovich 1999   37  0.5665  0.0053  0.0557  0.0538  0.1758  0.09
Moravec 1969   9  0.666  0.0315  0.1411  0.512  0.664  0.58
Morozova 2008   16  0.635  0.0313  0.149  0.535  0.5112  0.52
Neighaus 1950   40  0.5571  0.0033  0.0733  0.2245  0.1145  0.16
Niedzielski 1931   46  0.5111  0.0141  0.0543  0.1211  0.4240  0.22
Ohlsson 1999   32  0.5872  0.0045  0.0545  0.0932  0.2050  0.13
Osinska 1989   39  0.5537  0.0060  0.0553  0.0540  0.1260  0.08
Pachmann 1927   79  0.3173  0.0079  0.0383  0.0374  0.0382  0.03
Paderewski 1930   41  0.5485  0.0061  0.0558  0.0544  0.1162  0.07
Perlemuter 1992   34  0.5756  0.0032  0.0926  0.2514  0.4920  0.35
Pierdomenico 2008   48  0.5149  0.0067  0.0562  0.0535  0.1955  0.10
Poblocka 1999   14  0.6313  0.019  0.0915  0.4511  0.4415  0.44
Rabcewiczowa 1932   36  0.5638  0.0058  0.0556  0.0524  0.4048  0.14
Rachmaninoff 1923   22  0.613  0.083  0.215  0.613  0.682  0.64
Rangell 2001   53  0.5059  0.0071  0.0378  0.0353  0.0485  0.03
Richter 1976   29  0.5815  0.0137  0.0728  0.2413  0.3924  0.31
Rosen 1989   42  0.5326  0.0025  0.0635  0.1922  0.3734  0.27
Rosenthal 1930   44  0.5243  0.0059  0.0649  0.0624  0.4444  0.16
Rosenthal 1931   82  0.2580  0.0084  0.0380  0.0362  0.0383  0.03
Rosenthal 1931b   87  0.2281  0.0086  0.0381  0.0381  0.0386  0.03
Rosenthal 1931c   68  0.4440  0.0070  0.0377  0.0346  0.0678  0.04
Rosenthal 1931d   81  0.2845  0.0085  0.0386  0.0381  0.0290  0.02
Rossi 2007   78  0.3289  0.0083  0.0375  0.0327  0.2656  0.09
Rubinstein 1939   86  0.2346  0.0088  0.0287  0.0272  0.0387  0.02
Rubinstein 1952   65  0.4576  0.0075  0.0382  0.0356  0.0679  0.04
Rubinstein 1966   49  0.5060  0.0068  0.0465  0.0443  0.1065  0.06
Schilhawsky 1960   56  0.4877  0.0054  0.0554  0.0530  0.2753  0.12
Shebanova 2002   18  0.628  0.0216  0.0717  0.4012  0.4916  0.44
Smith 1975   33  0.5790  0.0048  0.0648  0.0654  0.0468  0.05
Sokolov 2002   12  0.6464  0.0019  0.0718  0.3623  0.3719  0.36
Sztompka 1959   2  0.742  0.252  0.353  0.652  0.691  0.67
Tomsic 1995   21  0.6150  0.0010  0.1020  0.3124  0.2829  0.29
Uninsky 1932   11  0.6531  0.006  0.1314  0.494  0.5811  0.53
Uninsky 1971   25  0.5968  0.0039  0.0837  0.1725  0.4135  0.26
Wasowski 1980   26  0.5914  0.0138  0.0739  0.168  0.4533  0.27
Zak 1937   60  0.4786  0.0065  0.0472  0.0465  0.0473  0.04
Zak 1951   62  0.4682  0.0062  0.0466  0.0456  0.0575  0.04
Average   1  0.781  0.341  0.341  0.7614  0.4010  0.55
Random 1   91  -0.0991  0.0091  0.0191  0.0183  0.0291  0.01
Random 2   89  0.0266  0.0089  0.0288  0.0235  0.1666  0.06
Random 3   90  0.0224  0.0090  0.0290  0.0259  0.0388  0.02

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).