Fiorentino 1962

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   36  0.7062  0.0045  0.0549  0.0510  0.4340  0.15
Ashkenazy 1981   19  0.7653  0.0021  0.1219  0.4825  0.4219  0.45
Beliavsky 2004   41  0.6942  0.0031  0.0731  0.1424  0.2535  0.19
BenOr 1989   5  0.8143  0.005  0.273  0.752  0.724  0.73
Biret 1990   2  0.8315  0.003  0.275  0.738  0.655  0.69
Blet 2003   21  0.765  0.0019  0.1029  0.276  0.6424  0.42
Block 1995   20  0.769  0.0022  0.1124  0.354  0.5621  0.44
Brailowsky 1960   47  0.6754  0.0052  0.0458  0.0430  0.1655  0.08
Chiu 1999   15  0.7731  0.0015  0.1115  0.537  0.5617  0.54
Clidat 1994   46  0.6832  0.0048  0.0642  0.0631  0.1353  0.09
Cohen 1997   42  0.6837  0.0054  0.0551  0.0529  0.1356  0.08
Coop 1987   30  0.7417  0.0025  0.0827  0.3124  0.4228  0.36
Cortot 1951   27  0.7526  0.0035  0.1333  0.1313  0.4732  0.25
Czerny 1949   32  0.7363  0.0033  0.1036  0.1017  0.4834  0.22
Czerny 1949b   45  0.6855  0.0032  0.0732  0.1313  0.4931  0.25
Ezaki 2006   22  0.7664  0.0024  0.0923  0.3521  0.4526  0.40
Falvay 1989   14  0.7727  0.0030  0.1030  0.2411  0.5229  0.35
Ferenczy 1958   59  0.5928  0.0060  0.0641  0.0656  0.0461  0.05
Fiorentino 1962   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Fliere 1977   3  0.836  0.004  0.322  0.801  0.812  0.80
Fou 1978   31  0.7333  0.0029  0.1025  0.3322  0.3730  0.35
Francois 1956   62  0.4818  0.0062  0.0643  0.0625  0.3243  0.14
Hatto 1997   43  0.6856  0.0049  0.0361  0.0343  0.0663  0.04
Horowitz 1971   52  0.648  0.0039  0.0640  0.0628  0.1851  0.10
Horowitz 1985   60  0.5634  0.0059  0.0554  0.0530  0.1354  0.08
Indjic 2001   34  0.7335  0.0041  0.0837  0.0826  0.2145  0.13
Kapell 1951   17  0.7765  0.0013  0.1220  0.4316  0.3925  0.41
Kiepura 1999   48  0.663  0.0053  0.0553  0.0520  0.3842  0.14
Kilenyi 1937   25  0.7619  0.0016  0.1411  0.607  0.678  0.63
Kissin 1993   9  0.7910  0.006  0.196  0.705  0.666  0.68
Kitain 1937   61  0.5157  0.0061  0.0456  0.0455  0.0464  0.04
Kushner 1990   58  0.6158  0.0055  0.0457  0.0439  0.0660  0.05
Levy 1951   23  0.7611  0.0023  0.0921  0.4115  0.4820  0.44
Luisada 1990   26  0.7544  0.0026  0.0928  0.3018  0.4927  0.38
Lushtak 2004   44  0.6838  0.0051  0.0460  0.0417  0.3546  0.12
Lympany 1968   39  0.6945  0.0043  0.0647  0.069  0.5336  0.18
Magaloff 1977   16  0.7729  0.0012  0.1213  0.569  0.5715  0.56
Magaloff 1977b   24  0.7623  0.0014  0.1017  0.5110  0.5418  0.52
Magin 1975   11  0.7851  0.0017  0.1616  0.518  0.6016  0.55
Milkina 1970   35  0.717  0.0044  0.0645  0.0630  0.1352  0.09
Mohovich 1999   18  0.7624  0.0018  0.1214  0.553  0.6810  0.61
Nadelmann 1956   13  0.7859  0.0020  0.0918  0.493  0.6614  0.57
Ohlsson 1999   40  0.6936  0.0036  0.1134  0.1110  0.4633  0.22
Olejniczac 1990   1  0.981  0.991  0.981  1.001  0.991  0.99
Olejniczak 1991   4  0.834  0.002  0.234  0.742  0.723  0.73
Osinska 1989   8  0.8046  0.009  0.2110  0.6311  0.5811  0.60
Paderewski 1912   50  0.6560  0.0047  0.0644  0.0631  0.1949  0.11
Perahia 1994   56  0.622  0.0037  0.0738  0.0714  0.3441  0.15
Perlemuter 1986   53  0.6347  0.0058  0.0455  0.0424  0.2848  0.11
Poblocka 1999   7  0.8048  0.007  0.248  0.6413  0.5313  0.58
Rangell 2001   10  0.7949  0.0011  0.199  0.644  0.687  0.66
Risler 1920   55  0.6220  0.0046  0.0548  0.0512  0.4839  0.15
Rosen 1989   51  0.6421  0.0057  0.0552  0.0534  0.0858  0.06
Rubinstein 1939   57  0.6130  0.0056  0.0459  0.0439  0.0759  0.05
Rubinstein 1952   38  0.6912  0.0038  0.0739  0.0716  0.3738  0.16
Rubinstein 1966   49  0.6550  0.0050  0.0362  0.0347  0.0562  0.04
Rummel 1943   54  0.6325  0.0042  0.0550  0.0521  0.2847  0.12
Shebanova 2002   37  0.7052  0.0040  0.0646  0.0612  0.4137  0.16
Smith 1975   33  0.7339  0.0034  0.1135  0.1139  0.0950  0.10
Szpilman 1948   29  0.7414  0.0028  0.0926  0.3213  0.5423  0.42
Uninsky 1971   12  0.7816  0.0010  0.1712  0.573  0.669  0.61
Wasowski 1980   28  0.7413  0.0027  0.1022  0.3917  0.4622  0.42
Weissenberg 1971   6  0.8022  0.008  0.237  0.6712  0.5312  0.60
Random 1    63  0.0440  0.0063  0.0363  0.036  0.5444  0.13
Random 2   64  0.0461  0.0064  0.0264  0.0218  0.2257  0.07
Random 3   65  0.0041  0.0065  0.0265  0.0238  0.0665  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).