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  0.839  0.026  0.194  0.5423  0.3911  0.46
Anderszewski 2003   14  0.7713  0.0115  0.0727  0.2622  0.2629  0.26
Ashkenazy 1981   61  0.6475  0.0058  0.0371  0.0354  0.0487  0.03
Bacha 2000   55  0.6783  0.0019  0.0629  0.239  0.4220  0.31
Badura 1965   70  0.6071  0.0079  0.0370  0.0360  0.0579  0.04
Barbosa 1983   77  0.5533  0.0069  0.0463  0.0434  0.1564  0.08
Biret 1990   44  0.7076  0.0022  0.0828  0.2417  0.4021  0.31
Blet 2003   37  0.7116  0.0133  0.0540  0.1219  0.3635  0.21
Block 1995   78  0.5350  0.0080  0.0381  0.0352  0.0580  0.04
Blumental 1952   12  0.773  0.122  0.153  0.551  0.602  0.57
Boshniakovich 1969   58  0.6621  0.0143  0.0545  0.0969  0.0569  0.07
Brailowsky 1960   51  0.6872  0.0067  0.0365  0.0324  0.3058  0.09
Bunin 1987   87  0.3680  0.0088  0.0453  0.0472  0.0481  0.04
Bunin 1987b   88  0.3466  0.0087  0.0369  0.0373  0.0484  0.03
Chiu 1999   52  0.6858  0.0037  0.0542  0.1025  0.2442  0.15
Cohen 1997   84  0.4647  0.0083  0.0378  0.0323  0.3060  0.09
Cortot 1951   59  0.6584  0.0074  0.0383  0.0358  0.0488  0.03
Csalog 1996   80  0.5289  0.0068  0.0372  0.0317  0.3656  0.10
Czerny 1949   9  0.794  0.128  0.136  0.518  0.556  0.53
Czerny 1990   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Duchoud 2007   83  0.4760  0.0084  0.0449  0.0462  0.0478  0.04
Ezaki 2006   4  0.8217  0.019  0.127  0.513  0.583  0.54
Falvay 1989   60  0.6419  0.0172  0.0450  0.0419  0.4743  0.14
Farrell 1958   28  0.7320  0.0117  0.0717  0.365  0.5514  0.44
Ferenczy 1958   63  0.6432  0.0075  0.0377  0.0371  0.0486  0.03
Fliere 1977   8  0.7934  0.0025  0.0724  0.2842  0.1537  0.20
Fou 1978   49  0.6938  0.0050  0.0459  0.0435  0.1562  0.08
Francois 1956   11  0.7749  0.0011  0.1013  0.421  0.617  0.51
Friedman 1923   23  0.7426  0.0040  0.0437  0.1423  0.4431  0.25
Friedman 1923b   25  0.7448  0.0039  0.0534  0.1623  0.4428  0.27
Friedman 1930   17  0.7677  0.0038  0.0433  0.1615  0.4927  0.28
Garcia 2007   46  0.6986  0.0062  0.0454  0.0438  0.1865  0.08
Garcia 2007b   64  0.6390  0.0063  0.0460  0.0459  0.0582  0.04
Gierzod 1998   6  0.806  0.105  0.212  0.5610  0.534  0.54
Gornostaeva 1994   56  0.6635  0.0048  0.0452  0.0426  0.2161  0.09
Groot 1988   73  0.5839  0.0070  0.0464  0.0447  0.0774  0.05
Harasiewicz 1955   29  0.7223  0.0042  0.0544  0.1071  0.0472  0.06
Hatto 1993   34  0.7222  0.0145  0.0738  0.1331  0.2541  0.18
Hatto 1997   27  0.7385  0.0046  0.0746  0.0731  0.2447  0.13
Horowitz 1949   81  0.5291  0.0085  0.0547  0.0557  0.0673  0.05
Indjic 1988   26  0.7442  0.0044  0.0636  0.1432  0.2538  0.19
Kapell 1951   47  0.6924  0.0023  0.0825  0.2728  0.1734  0.21
Kissin 1993   10  0.7944  0.0010  0.129  0.4617  0.4315  0.44
Kushner 1989   7  0.8059  0.0024  0.1319  0.3413  0.4816  0.40
Luisada 1991   19  0.7578  0.0020  0.0818  0.3529  0.2424  0.29
Lushtak 2004   35  0.7227  0.0049  0.0458  0.0432  0.1866  0.08
Malcuzynski 1961   74  0.578  0.0352  0.0367  0.0333  0.1963  0.08
Magaloff 1978   45  0.7043  0.0034  0.0541  0.124  0.5130  0.25
Magin 1975   41  0.7046  0.0027  0.0821  0.3122  0.3918  0.35
Michalowski 1933   65  0.6167  0.0076  0.0380  0.0351  0.0676  0.04
Milkina 1970   13  0.7715  0.0116  0.0711  0.4513  0.4810  0.46
Mohovich 1999   33  0.7261  0.0026  0.0626  0.2723  0.4319  0.34
Moravec 1969   38  0.7136  0.0012  0.1220  0.312  0.6612  0.45
Morozova 2008   36  0.7168  0.0035  0.0535  0.1526  0.2936  0.21
Neighaus 1950   50  0.6865  0.0041  0.0539  0.1242  0.1053  0.11
Niedzielski 1931   3  0.825  0.114  0.205  0.541  0.681  0.61
Ohlsson 1999   54  0.6714  0.0147  0.0457  0.0444  0.1168  0.07
Osinska 1989   5  0.817  0.047  0.148  0.5014  0.488  0.49
Pachmann 1927   57  0.6673  0.0078  0.0456  0.0417  0.3648  0.12
Paderewski 1930   39  0.7169  0.0031  0.0631  0.187  0.4626  0.29
Perlemuter 1992   31  0.7255  0.0032  0.0632  0.1632  0.2140  0.18
Pierdomenico 2008   82  0.5154  0.0077  0.0375  0.0318  0.3951  0.11
Poblocka 1999   62  0.6462  0.0059  0.0379  0.0367  0.0483  0.03
Rabcewiczowa 1932   20  0.752  0.133  0.1910  0.455  0.489  0.46
Rachmaninoff 1923   16  0.7618  0.0118  0.0715  0.3811  0.3817  0.38
Rangell 2001   86  0.4052  0.0082  0.0374  0.0338  0.1570  0.07
Richter 1976   85  0.4064  0.0086  0.0388  0.0366  0.0485  0.03
Rosen 1989   22  0.7537  0.0013  0.1112  0.4311  0.4713  0.45
Rosenthal 1930   72  0.5981  0.0071  0.0451  0.0419  0.2952  0.11
Rosenthal 1931   71  0.6074  0.0065  0.0387  0.0312  0.4949  0.12
Rosenthal 1931b   68  0.6156  0.0064  0.0373  0.0312  0.5050  0.12
Rosenthal 1931c   67  0.6145  0.0051  0.0448  0.0411  0.4745  0.14
Rosenthal 1931d   66  0.6170  0.0066  0.0461  0.0410  0.5244  0.14
Rossi 2007   48  0.6931  0.0060  0.0382  0.037  0.5346  0.13
Rubinstein 1939   43  0.7053  0.0061  0.0384  0.0319  0.3454  0.10
Rubinstein 1952   76  0.5628  0.0036  0.0643  0.1026  0.3839  0.19
Rubinstein 1966   32  0.7212  0.0156  0.0366  0.0325  0.3657  0.10
Schilhawsky 1960   42  0.7051  0.0053  0.0385  0.0356  0.0577  0.04
Shebanova 2002   15  0.7630  0.0021  0.0716  0.3735  0.2423  0.30
Smith 1975   30  0.7263  0.0030  0.0730  0.2215  0.3725  0.29
Sokolov 2002   79  0.5379  0.0073  0.0386  0.0349  0.0575  0.04
Sztompka 1959   21  0.7511  0.0114  0.0814  0.3833  0.2422  0.30
Tomsic 1995   75  0.5640  0.0081  0.0368  0.0333  0.3155  0.10
Uninsky 1932   53  0.6757  0.0055  0.0462  0.0441  0.2059  0.09
Uninsky 1971   69  0.6029  0.0054  0.0376  0.0345  0.1271  0.06
Wasowski 1980   40  0.7141  0.0057  0.0455  0.0441  0.1167  0.07
Zak 1937   18  0.7610  0.0129  0.0922  0.2933  0.1832  0.23
Zak 1951   24  0.7425  0.0028  0.0723  0.2832  0.1933  0.23
Average   1  0.881  0.161  0.161  0.6815  0.415  0.53
Random 1   91  -0.2287  0.0090  0.0190  0.0173  0.0390  0.02
Random 2   89  -0.1582  0.0089  0.0189  0.0152  0.0489  0.02
Random 3   90  -0.1988  0.0091  0.0191  0.0172  0.0391  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).