Biret 1990

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   35  0.3778  0.0049  0.0746  0.0737  0.1942  0.12
Anderszewski 2003   72  0.2572  0.0067  0.0462  0.0486  0.0383  0.03
Ashkenazy 1981   58  0.3142  0.0075  0.0469  0.0478  0.0471  0.04
Bacha 2000   70  0.2713  0.0071  0.0380  0.0376  0.0375  0.03
Badura 1965   81  0.2249  0.0068  0.0382  0.0377  0.0386  0.03
Barbosa 1983   25  0.4046  0.0024  0.1119  0.5744  0.1628  0.30
Biret 1990   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Blet 2003   40  0.3653  0.0035  0.0936  0.3130  0.3624  0.33
Block 1995   66  0.2855  0.0066  0.0555  0.0563  0.0469  0.04
Blumental 1952   56  0.3281  0.0062  0.0556  0.0571  0.0564  0.05
Boshniakovich 1969   47  0.3350  0.0041  0.0840  0.2165  0.0550  0.10
Brailowsky 1960   54  0.3244  0.0061  0.0464  0.0459  0.0661  0.05
Bunin 1987   49  0.3383  0.0044  0.0644  0.1434  0.2333  0.18
Bunin 1987b   52  0.3262  0.0048  0.0652  0.0641  0.1943  0.11
Chiu 1999   23  0.4118  0.0026  0.1027  0.4329  0.2425  0.32
Cohen 1997   38  0.3729  0.0028  0.0930  0.3818  0.5717  0.47
Cortot 1951   67  0.2832  0.0059  0.0467  0.0443  0.1458  0.07
Csalog 1996   12  0.4419  0.0021  0.1312  0.6210  0.5113  0.56
Czerny 1949   10  0.4624  0.0012  0.1321  0.5420  0.6411  0.59
Czerny 1990   41  0.3639  0.0057  0.0560  0.0574  0.0473  0.04
Duchoud 2007   45  0.3452  0.0047  0.0650  0.0625  0.3338  0.14
Ezaki 2006   29  0.3911  0.0113  0.1329  0.3942  0.2526  0.31
Falvay 1989   11  0.4517  0.0018  0.1111  0.6229  0.3219  0.45
Farrell 1958   14  0.4341  0.0014  0.1010  0.644  0.658  0.64
Ferenczy 1958   73  0.2574  0.0079  0.0376  0.0343  0.1956  0.08
Fliere 1977   30  0.3920  0.0027  0.1133  0.3578  0.0440  0.12
Fou 1978   53  0.3240  0.0063  0.0649  0.0678  0.0365  0.04
Francois 1956   21  0.4112  0.0111  0.1513  0.623  0.783  0.70
Friedman 1923   74  0.2587  0.0074  0.0378  0.0359  0.0574  0.04
Friedman 1923b   75  0.2488  0.0069  0.0472  0.0465  0.0572  0.04
Friedman 1930   46  0.3459  0.0045  0.0645  0.1237  0.1737  0.14
Garcia 2007   79  0.2338  0.0077  0.0466  0.0450  0.0568  0.04
Garcia 2007b   44  0.3465  0.0046  0.0651  0.0642  0.1354  0.09
Gierzod 1998   86  0.1876  0.0080  0.0377  0.0381  0.0385  0.03
Gornostaeva 1994   16  0.4334  0.0022  0.1217  0.5722  0.4915  0.53
Groot 1988   28  0.3951  0.0034  0.1331  0.3746  0.0636  0.15
Harasiewicz 1955   17  0.4337  0.0017  0.119  0.6543  0.1527  0.31
Hatto 1993   34  0.3736  0.0038  0.0842  0.2062  0.0551  0.10
Hatto 1997   3  0.506  0.046  0.146  0.698  0.609  0.64
Horowitz 1949   63  0.3048  0.0060  0.0470  0.0437  0.3144  0.11
Indjic 1988   27  0.4026  0.0033  0.1326  0.4462  0.0535  0.15
Kapell 1951   32  0.3873  0.0037  0.0937  0.2654  0.0641  0.12
Kissin 1993   83  0.2160  0.0085  0.0287  0.0277  0.0481  0.03
Kushner 1989   39  0.3766  0.0043  0.0941  0.2163  0.0548  0.10
Luisada 1991   20  0.4128  0.0025  0.1023  0.4923  0.3523  0.41
Lushtak 2004   51  0.3345  0.0040  0.0739  0.2249  0.0646  0.11
Malcuzynski 1961   71  0.2591  0.0072  0.0385  0.0387  0.0378  0.03
Magaloff 1978   33  0.3730  0.0036  0.1135  0.3354  0.0539  0.13
Magin 1975   62  0.3021  0.0052  0.0557  0.0561  0.0562  0.05
Michalowski 1933   69  0.2779  0.0051  0.0653  0.0619  0.4234  0.16
Milkina 1970   6  0.473  0.063  0.293  0.776  0.742  0.75
Mohovich 1999   55  0.3277  0.0055  0.0468  0.0451  0.0570  0.04
Moravec 1969   50  0.3375  0.0050  0.0747  0.0765  0.0559  0.06
Morozova 2008   59  0.3167  0.0056  0.0461  0.0478  0.0384  0.03
Neighaus 1950   37  0.3722  0.0031  0.1034  0.3537  0.2330  0.28
Niedzielski 1931   82  0.2163  0.0078  0.0463  0.0487  0.0377  0.03
Ohlsson 1999   22  0.418  0.0115  0.1120  0.5619  0.3718  0.46
Osinska 1989   2  0.551  0.451  0.452  0.865  0.741  0.80
Pachmann 1927   84  0.2182  0.0087  0.0375  0.0383  0.0379  0.03
Paderewski 1930   87  0.1543  0.0086  0.0288  0.0282  0.0390  0.02
Perlemuter 1992   76  0.2489  0.0082  0.0379  0.0379  0.0376  0.03
Pierdomenico 2008   65  0.3071  0.0065  0.0748  0.0743  0.1252  0.09
Poblocka 1999   36  0.3754  0.0039  0.0743  0.2059  0.0547  0.10
Rabcewiczowa 1932   7  0.477  0.027  0.168  0.686  0.696  0.68
Rachmaninoff 1923   15  0.435  0.048  0.2316  0.5813  0.5412  0.56
Rangell 2001   64  0.3047  0.0058  0.0558  0.0546  0.0760  0.06
Richter 1976   61  0.3070  0.0073  0.0471  0.0473  0.0467  0.04
Rosen 1989   42  0.3556  0.0042  0.0838  0.2461  0.0449  0.10
Rosenthal 1930   60  0.3110  0.0153  0.0559  0.0541  0.2345  0.11
Rosenthal 1931   88  0.1490  0.0088  0.0384  0.0371  0.0482  0.03
Rosenthal 1931b   85  0.2080  0.0084  0.0386  0.0361  0.0488  0.03
Rosenthal 1931c   80  0.2227  0.0083  0.0473  0.0472  0.0389  0.03
Rosenthal 1931d   77  0.2469  0.0076  0.0474  0.0440  0.1557  0.08
Rossi 2007   68  0.2868  0.0070  0.0381  0.0336  0.2455  0.08
Rubinstein 1939   18  0.4333  0.0020  0.1014  0.6118  0.4614  0.53
Rubinstein 1952   26  0.4014  0.0016  0.1422  0.5435  0.3422  0.43
Rubinstein 1966   31  0.3886  0.0030  0.1224  0.4852  0.0732  0.18
Schilhawsky 1960   24  0.4061  0.0029  0.1025  0.446  0.5916  0.51
Shebanova 2002   57  0.3223  0.0064  0.0554  0.0561  0.0663  0.05
Smith 1975   5  0.479  0.0110  0.1315  0.609  0.6110  0.60
Sokolov 2002   19  0.4158  0.0032  0.1228  0.4120  0.4521  0.43
Sztompka 1959   78  0.2384  0.0081  0.0383  0.0377  0.0480  0.03
Tomsic 1995   48  0.3335  0.0054  0.0465  0.0475  0.0466  0.04
Uninsky 1932   43  0.3431  0.0023  0.1132  0.3733  0.2429  0.30
Uninsky 1971   13  0.4316  0.0019  0.1018  0.5730  0.3520  0.45
Wasowski 1980   4  0.484  0.044  0.314  0.756  0.625  0.68
Zak 1937   9  0.4625  0.009  0.227  0.699  0.637  0.66
Zak 1951   8  0.4615  0.005  0.245  0.735  0.664  0.69
Average   1  0.592  0.222  0.551  0.8760  0.0531  0.21
Random 1   91  -0.0385  0.0090  0.0190  0.0143  0.0887  0.03
Random 2   89  0.0564  0.0089  0.0289  0.0213  0.4153  0.09
Random 3   90  -0.0357  0.0091  0.0191  0.0149  0.0591  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).