Fliere 1977

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   5  0.7448  0.0013  0.1316  0.488  0.5820  0.53
Anderszewski 2003   7  0.725  0.0119  0.1320  0.423  0.6619  0.53
Ashkenazy 1981   51  0.6179  0.0046  0.0748  0.0715  0.4649  0.18
Bacha 2000   72  0.5341  0.0064  0.0469  0.047  0.4963  0.14
Badura 1965   54  0.616  0.0154  0.0470  0.0418  0.4770  0.14
Barbosa 1983   64  0.5554  0.0058  0.0560  0.0516  0.5356  0.16
Biret 1990   38  0.6518  0.0025  0.0822  0.3610  0.5227  0.43
Blet 2003   42  0.6412  0.0148  0.0653  0.062  0.6748  0.20
Block 1995   59  0.5719  0.0032  0.0541  0.175  0.6139  0.32
Blumental 1952   50  0.6124  0.0047  0.0747  0.0712  0.4153  0.17
Boshniakovich 1969   12  0.712  0.026  0.107  0.544  0.645  0.59
Brailowsky 1960   34  0.653  0.0229  0.0938  0.191  0.7831  0.38
Bunin 1987   77  0.5087  0.0073  0.0650  0.0614  0.4854  0.17
Bunin 1987b   81  0.4967  0.0072  0.0471  0.0413  0.4864  0.14
Chiu 1999   61  0.5755  0.0065  0.0465  0.049  0.4073  0.13
Cohen 1997   88  0.3876  0.0088  0.0472  0.0438  0.1386  0.07
Cortot 1951   71  0.5388  0.0071  0.0463  0.0412  0.5661  0.15
Csalog 1996   74  0.527  0.0168  0.0554  0.0516  0.4268  0.14
Czerny 1949   22  0.6980  0.0024  0.0821  0.3718  0.5425  0.45
Czerny 1990   26  0.6947  0.0034  0.0632  0.2315  0.5036  0.34
Duchoud 2007   76  0.5049  0.0061  0.0480  0.049  0.4869  0.14
Ezaki 2006   19  0.7016  0.0035  0.0733  0.2210  0.6133  0.37
Falvay 1989   68  0.5558  0.0078  0.0474  0.0445  0.1483  0.07
Farrell 1958   62  0.5656  0.0056  0.0562  0.0523  0.4358  0.15
Ferenczy 1958   46  0.6229  0.0067  0.0749  0.074  0.6147  0.21
Fliere 1977   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Fou 1978   27  0.688  0.0123  0.0823  0.352  0.6422  0.47
Francois 1956   69  0.5471  0.0074  0.0478  0.0424  0.4476  0.13
Friedman 1923   47  0.6139  0.0063  0.0561  0.0523  0.4362  0.15
Friedman 1923b   49  0.6163  0.0062  0.0476  0.0429  0.4275  0.13
Friedman 1930   45  0.6282  0.0066  0.0557  0.0526  0.4459  0.15
Garcia 2007   53  0.6174  0.0053  0.0556  0.053  0.6152  0.17
Garcia 2007b   44  0.6345  0.0042  0.0736  0.206  0.6035  0.35
Gierzod 1998   2  0.7911  0.012  0.422  0.753  0.772  0.76
Gornostaeva 1994   37  0.6528  0.0037  0.0642  0.179  0.5841  0.31
Groot 1988   56  0.6046  0.0030  0.0537  0.203  0.5937  0.34
Harasiewicz 1955   9  0.7257  0.0016  0.1013  0.5014  0.6015  0.55
Hatto 1993   15  0.7122  0.003  0.194  0.556  0.5711  0.56
Hatto 1997   11  0.7181  0.005  0.198  0.536  0.5617  0.54
Horowitz 1949   67  0.5589  0.0070  0.0479  0.0411  0.5166  0.14
Indjic 1988   10  0.7232  0.004  0.146  0.546  0.5614  0.55
Kapell 1951   30  0.684  0.0115  0.1119  0.464  0.6118  0.53
Kissin 1993   31  0.6740  0.0041  0.0734  0.2223  0.5038  0.33
Kushner 1989   16  0.7133  0.0022  0.0826  0.3411  0.6123  0.46
Luisada 1991   8  0.7242  0.0017  0.1017  0.472  0.764  0.60
Lushtak 2004   33  0.6617  0.0036  0.0731  0.256  0.6530  0.40
Malcuzynski 1961   60  0.5772  0.0057  0.0559  0.0518  0.4165  0.14
Magaloff 1978   55  0.6038  0.0038  0.0643  0.147  0.5043  0.26
Magin 1975   6  0.7230  0.0018  0.1612  0.514  0.648  0.57
Michalowski 1933   66  0.5536  0.0069  0.0466  0.0414  0.4767  0.14
Milkina 1970   25  0.6937  0.0033  0.0628  0.3220  0.4928  0.40
Mohovich 1999   32  0.6714  0.0043  0.0835  0.213  0.6832  0.38
Moravec 1969   78  0.4950  0.0082  0.0473  0.0438  0.1981  0.09
Morozova 2008   36  0.6564  0.0044  0.0644  0.1215  0.4545  0.23
Neighaus 1950   41  0.6477  0.0045  0.0645  0.1117  0.5144  0.24
Niedzielski 1931   48  0.6165  0.0059  0.0652  0.0617  0.4650  0.17
Ohlsson 1999   28  0.6878  0.0014  0.1114  0.497  0.6213  0.55
Osinska 1989   3  0.7427  0.007  0.103  0.604  0.733  0.66
Pachmann 1927   75  0.5175  0.0086  0.0384  0.0319  0.4278  0.11
Paderewski 1930   85  0.4459  0.0087  0.0477  0.0440  0.1385  0.07
Perlemuter 1992   52  0.6168  0.0052  0.0468  0.045  0.5957  0.15
Pierdomenico 2008   86  0.4483  0.0083  0.0288  0.0240  0.2384  0.07
Poblocka 1999   18  0.7031  0.0012  0.1210  0.523  0.656  0.58
Rabcewiczowa 1932   58  0.5820  0.0039  0.0640  0.189  0.5142  0.30
Rachmaninoff 1923   23  0.6913  0.0026  0.1027  0.333  0.6124  0.45
Rangell 2001   87  0.3990  0.0085  0.0385  0.0352  0.0588  0.04
Richter 1976   39  0.6434  0.0050  0.0846  0.089  0.6146  0.22
Rosen 1989   13  0.7173  0.0020  0.1118  0.473  0.717  0.58
Rosenthal 1930   63  0.5662  0.0075  0.0467  0.0411  0.5660  0.15
Rosenthal 1931   82  0.4851  0.0081  0.0381  0.0323  0.3979  0.11
Rosenthal 1931b   79  0.4935  0.0080  0.0382  0.0320  0.4577  0.12
Rosenthal 1931c   70  0.5460  0.0076  0.0555  0.059  0.5955  0.17
Rosenthal 1931d   84  0.4761  0.0079  0.0287  0.0226  0.4082  0.09
Rossi 2007   83  0.4866  0.0084  0.0386  0.0347  0.0887  0.05
Rubinstein 1939   57  0.5991  0.0060  0.0475  0.0415  0.4174  0.13
Rubinstein 1952   73  0.5221  0.0051  0.0558  0.0524  0.4171  0.14
Rubinstein 1966   40  0.6443  0.0049  0.0651  0.0624  0.4651  0.17
Schilhawsky 1960   4  0.7410  0.0110  0.0911  0.528  0.6010  0.56
Shebanova 2002   14  0.7144  0.008  0.135  0.546  0.619  0.57
Smith 1975   20  0.709  0.0128  0.0824  0.352  0.7321  0.51
Sokolov 2002   65  0.5523  0.0055  0.0464  0.0417  0.4272  0.13
Sztompka 1959   17  0.7126  0.009  0.109  0.5211  0.5912  0.55
Tomsic 1995   80  0.4969  0.0077  0.0383  0.0334  0.3380  0.10
Uninsky 1932   43  0.6425  0.0040  0.0639  0.189  0.5540  0.31
Uninsky 1971   24  0.6953  0.0011  0.0915  0.4812  0.6116  0.54
Wasowski 1980   35  0.6515  0.0031  0.0630  0.2510  0.5434  0.37
Zak 1937   21  0.6984  0.0021  0.0925  0.3510  0.5526  0.44
Zak 1951   29  0.6852  0.0027  0.1029  0.3112  0.5229  0.40
Average   1  0.871  0.801  0.791  0.892  0.741  0.81
Random 1   91  -0.1085  0.0090  0.0190  0.0147  0.0491  0.02
Random 2   90  -0.0986  0.0091  0.0191  0.0162  0.0490  0.02
Random 3   89  -0.0770  0.0089  0.0189  0.0140  0.1289  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).